Data Science

Amazon.com’s Buyer Risk Prevention's (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for the Buyer Abuse team, whose mission is to combine advanced analytics with investigator insight to create mechanisms to proactively and reactively reduce the impact of abuse across Amazon. Key job responsibilitiesAs an Applied Scientist, you will be responsible for modeling complex problems, discovering insights, and building cutting edge risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and ML techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: - Invent, implement, and deploy state of the art machine learning algorithms and systems - Build prototypes and explore conceptually new solutions - Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams - Take ownership of how ML solutions impact Amazon resources and Customer experience - Develop efficient data querying infrastructure for both offline and online use cases - Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes - Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. - Research and implement novel machine learning and statistical approaches - Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentationsPlease visit https://www.amazon.science for more informationBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The AWS Kumo team provides technology and trusted expertise that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize, and operate at scale. Kumo’s products, used by AWS customers and the Support teams that help them, are vital to ensuring exceptional customer experiences on AWS. Our team owns customer facing applications like Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center and internal tooling such as Case Management, Troubleshooting, and Customer Event Management. We are a highly innovative global organization revolutionizing the way customers engage and seek help from AWS. Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the business.We are looking for an excellent Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will experience a wide range of problem solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lock-step with BI Engineers, Data scientists, ML scientists, Business analysts, Product Managers and other stakeholders across organization. You will: - Develop and improve the current data architecture, data quality, monitoring and data availability. - Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning - Partner with BAs across teams to build and verify hypothesis to improve the AWS Support business. - Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers - Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.About the teamDiverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Are you someone who cares about customer experience and wants to be involved in delivering innovative support experiences for customers of Amazon’s products using Artificial Intelligence? Then we're looking for you! We are seeking a Principal Product Manager to join the Customer Engagement Technology (CET) Team. You will be responsible for driving the vision of how we will use Artificial Intelligence (AI) with Large Language Models (LLMs) to help our Customer Service Associates (CSAs) solve customer problems globally. You will work directly with our science team to determine what products we should build to help CSAs solve problems and reduce the total customer handling time. You will also own developing the roadmap and templates to train the LLM models. You will be a thought leader and innovator within the organization. In this role, you are expected to collaborate with WWCS product and engineering stakeholders to utilize LLMs within our newly redesigned world class customer service associate interface to help CSAs communicate with customers in any language and resolve customer issues quickly and efficiently. This position will be responsible for product strategy, roadmap creation, business case development, financial analysis, and resource scoping for a suite of GenAI products. A successful candidate should thrive in a highly collaborative, ambiguous, creative, and fast-paced environment with a proven track record in taking on end-to-end ownership and successfully delivering results.In addition to supporting CSAs, you will also partner with WWCS product and engineering stakeholders to build a horizontal platform that Amazon organizations can use to develop LLM customer service experiences for their specific customers. The mission of the CET team within Customer Service is to create earth’s best customer service solutions through empowering our customers to utilize automation to resolve their issues quickly and efficiently. You will be a key component of our leadership team and will influence our science and engineering.You must have a collaborative work style, an innovative mindset, and an unparalleled work ethic. You will have an excellent record of complex project and product delivery, from conception and design through implementation, measurement, closure and handover. Key job responsibilities• Define and drive the multi-year vision for the product portfolio• Work cross-functionally to manage bottlenecks, provide escalation management, anticipate and make trade-offs, balance the business needs versus technical constraints, and maximize business benefit while building great customer experiences.• Measure and analyze existing products for opportunities to innovate and improve.• Deliver long-lasting foundational systematic solutions that pave the way for effective use of LLMs• Work with leaders across science, tech, product/program management, corporate and operations to identify and manage new and existing opportunities, initiatives and processes.• Deliver 3YP, Vision, PRFAQS, and BRD docs.• Define clear goals and objectives for the business in the planning and execution space while identifying risks and strategizing mitigation plans.• Assess product development efforts, including research, requirements definition, metrics analysis, technical specifications, development, and launch efforts.• Influence senior leaders across Amazon and communicate Amazon AI’s vision, strategy, goals, status, and customer impact.• Mentor other product managers.A day in the lifeIn this role you will track deliverables of our science and engineering teams. You will work closely with senior leaders across cross-functional stakeholder teams within Amazon to drive collaboration and influence them to prioritize projects, meet objects and adhere to business plans towards shared objectives. You will be responsible for key workstreams including stakeholder updates, monthly roadmap reviews, business reviews and organizational goal setting. You are also expected to be able to work independently and with ambiguity in a complex, fast-paced, and high-throughput environment where multi-tasking is required.You must have a collaborative work style, an innovative mindset, and an unparalleled work ethic. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! BASIC QUALIFICATIONS- Bachelor's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent- Experience owning/driving roadmap strategy and definition- Experience with feature delivery and tradeoffs of a product- 7+ years of end to end product delivery experience- 7+ years of product or program management, product marketing, business development or technology experience- 7+ years of technical product or program management experience- Experience leading cross-organizational programs and setting and holding teams and individuals to timelines and deliverables without explicit authority- Experience working with and influencing senior level stakeholders ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As the Data Science Manager on this team, you will: - Lead of team of scientists, business intelligence engineers, etc., on solving science problems with a high degree of complexity and ambiguity.- Develop science roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects.- Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.- Hire and develop top talent, provide technical and career development guidance to scientists and engineers in the organization.- Analyze historical data to identify trends and support optimal decision making.- Apply statistical and machine learning knowledge to specific business problems and data.- Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.- Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.- Build decision-making models and propose effective solutions for the business problems you define.- Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video ~ https://youtu.be/zD_6Lzw8raEBASIC QUALIFICATIONS- 5+ years of building quantitative solutions as a scientist or science manager experience- 2+ years of scientists or machine learning engineers management experience- 5+ years of applying statistical models for large-scale application and building automated analytical systems experience- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Knowledge of Python or R or other scripting language ...

At OpsTech Solutions (OTS), we are a technology centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure and device scaffolding that empowers and protects Amazon’s global Operations.The OTS DataTech team drives the enterprise data strategy, focusing on Data as a Product and supports OTS-wide data and analytics efforts, including generative AI and machine learning capabilities to fuel innovation and automation across the OTS product portfolio.Key job responsibilitiesAs a Data Engineer on the DataTech team, you will play a critical role in designing and building the foundational data infrastructure components that empowers OTS product teams with business critical metrics, develop systems and tools to ingest, process data from diverse data sources, data lakes, enable seamless data publish and subscribe, and self-service analytics for business metrics reporting. You will participate in automation of data governance processes and data quality monitoring, support data needs for AI/ML capabilities.A day in the lifeOn a day to day you will build and operate a highly scalable data mesh infrastructure, data lake that hosts OTS data and provide access through Data as a Product. BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Amazon Web Services (“AWS”) is looking for an outstanding Senior Data Scientist to join the AWS International Product Management and Expansion Strategy team. This is your opportunity to be a core part of the AWS team that has a direct impact on global strategic planning and decision-making.Today, AWS serves customers globally from over 190 countries through multiple infrastructure Regions. From these Regions, AWS offers over 200 fully featured cloud services which redefine business agility, reduce the cost of IT infrastructure, and elevate the role of IT as an enabler of business organizations. As a Senior Data Scientist on this team, you will get an exciting opportunity to structure and solve challenging business problems that help develop long-term growth strategies for AWS’s international business. We are looking for a seasoned professional with strong experience with operations research and/or AI/machine learning especially those with experience in seeking deep insights around customer adoption patterns globally. In this role, you will study patterns and structure models to quickly approach ambiguous problems with mathematical models that drive the adoption of AWS long-term to meaningfully impact AWS’s growth. To support their proposals, candidates should be able to mine large data sets independently, analyze patterns with any necessary programming and statistical techniques in a fast-paced environment. You will work closely with the business and technical teams to analyze many non-standard and unique business problems, and innovate with creative-problem solving to deliver actionable output to stakeholders. A successful candidate will be a self-starter, comfortable with ambiguity, with a working knowledge of cloud technology, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, a penchant to explain findings backed by sound statistical techniques, synthesize the business impact of findings, and have an ability to collaborate as well as effectively influence cross-functional teams. Come help us make history!Key job responsibilitiesThe key strategic objectives of this role include, but are not limited to:• Lead logical thinking to quickly turn high level ambiguous business problems into mathematical models • Help identify causal elements behind business trends to drive solution approaches that will let AWS expand faster internationally • Provide thought leadership to identify new correlations between emerging technology trends and global customer adoption to establish intuitive, but authoritative models that forecast or estimate impact to the business • Answer complex business questions around downstream impact and customer adoption patterns with statistical techniques/business rigor • Work with regional strategy managers to distill business trends unique to geographies • Develop Excel/Python/AWS AI/ML tool-based models to provide user friendly insights for business stakeholders and provide short- or long-term business projections that reflect cloud computing adoptionAbout the teamAbout AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- 2+ years of demonstrated experience with problem solving, algorithm design and complexity analysis- 5+ years of recent experience in scripting languages like Python, Perl, Rust ...

Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you!At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other stakeholders (Product Managers, Program Managers, Linguists) in developing locale specific solutions.Amazon Translations Services (TS) is seeking an Applied Scientist to be based in our Seattle office. As a key member of the Science and Engineering team of TS, this person will be responsible for designing algorithmic solutions based on data and mathematics for translating billions of words annually across 130+ and expanding set of locales. The successful applicant will ensure that there is minimal human touch involved in any language translation and accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.Key job responsibilities* Apply your knowledge of LLM models to contribute to the development and implementation of machine learning solutions that address language translation-related challenges in the eCommerce space.* Collaborate with cross-functional teams, including senior scientists, software engineers, and product managers, to understand project requirements, map business goals to scientific problems, and help deliver high-quality solutions.* Conduct data analysis to identify patterns and insights, using reasonable assumptions and customer requirements to solve well-defined problems related to seller performance and customer experiences across international marketplaces.* Stay updated on current modeling techniques and methodologies, applying them under guidance to improve the accuracy and efficiency of language translation-related systems.* Communicate technical concepts clearly to team members and stakeholders, participating in discussions on proposed solutions and their potential impact.About the teamWe are a start-up mindset team. As the long-term technical strategy is still taking shape, there is a lot of opportunity for this fresh Science team to innovate by leveraging Gen AI technoligies to build scalable solutions from scratch.Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services.Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

Vehicles Programs & Engineering within Amazon’s Last Mile organization is looking for a Data Scientist to leverage Amazon’s vast amount of data to answer business critical questions on how best to maintain, utilize and operate our fleet of tens of thousands of vehicles. The Vehicle Programs and Engineering team works on Amazon's last-mile vehicle initiatives. The key partners to this team will include (but not be limited to) Finance, Analytics Team, Maintenance, Fleet Ops, Safety and Global teams. As a scientist on our team, you will develop and lead new technical solutions, influence business critical decision-making with massive scale, and influence multiple organizations and geographies.To be successful in this role, you'll need to wrangle messy data from internal and external sources, manage stakeholder priorities, and communicate technical concepts to both technical and non-technical audiences. You'll work on unique problem spaces to improve our fleet at a scale unmatched in industry and be able to see the impact of your work across organizations.Key job responsibilities- Provide strategic and tactical advice based on data insights to multiple business teams.- Build prototype and production intent forecasting and decision models- Engineer new solutions to analyze and interpret a variety of data sources (internal and 3rd party)- Leverage business acumen and technical expertise to create new performance metrics, uncover trends, and highlight root causes of issues- Manage multiple projects simultaneously- Work with product, technology, and analytics stakeholders to support organization wide goals- Communicate findings with senior leadership- Learn, explore, apply, and gain expertise in many internal Amazon data and public AWS products such as Glue, Redshift, Quicksight, and LambdaBASIC QUALIFICATIONS- 3+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment- Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.- Simulation tools and methods ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Are you interested in building highly impactful business intelligence (BI) solutions in a mixed team of BIEs, Data Scientists, Data Engineers, and SDEs? If so, you should consider a role in AWS Hardware Engineering Services.We are responsible for designing, qualifying, and maintaining server solutions for AWS and its customers. The Data Science and Analytics team supports the broader Hardware Engineering organization by acting as conduits between the data and the business. As a Business Intelligence Engineer in our team, you will support the design, implementation, and delivery of BI solutions in a complex problem space that has a long-term impact on a business, organization, and technology. You will gain exposure to both Data Science and Data Engineering disciplines, while developing your technical skills and leadership ability. The ideal candidate will be experienced in the areas of data and business intelligence systems. You have a demonstrated record of driving new analytical solutions from inception to launch. You are highly skilled with SQL, have experience developing ETL processes, understand data visualization tools such as QuickSight, and have familiarity with at least one scripting language.About the teamAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Amazon Web Services (AWS) values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 5+ years of experience in analyzing, interpreting and reporting data- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience working directly with business stakeholders to translate between data and business needs ...

At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better.The WHS Data team is hiring a Business Intelligence Engineer (BIE). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible with providing all reporting solutions required by the WHS Organization to drive workplace safety and regulatory compliance worldwide. This BIE role will primarily support the data and reporting needs for the Safety Performance Insights (SPI) BI team in the WHS Organization. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups including leadership.Key job responsibilities-Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems-Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership-Identify opportunities and key criteria to drive analytical reporting and business strategy-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting-Simplify and automate reporting, audits, and other data-driven activities-Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights-Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation-Learn new technology and techniques to meaningfully support product and process innovationA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools ...

As a Sr. Data Scientist on the Targeting & Tooling team, you will have the opportunity to gain deep insights into customer needs and accelerate our go-to-market strategies. Leveraging cutting-edge AI and machine learning techniques, you will provide actionable and understandable recommendations that enable our sales teams to anticipate customer requirements and identify those best positioned to benefit from Amazon Web Services (AWS) cloud solutions. You will work closely with stakeholders throughout the organization to consume, analyze, and interpret customer data from a variety of sources. You will convey technical concepts clearly to both technical and non-technical audiences. You will identify trends and tell compelling data stories.You will help improve customer experiences and drive business results as a key member of the World Wide Specialist Organization (WWSO) team.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.Key job responsibilities- Leverage machine learning and advanced analytical techniques to extract meaningful insights from large, complex data sets related to GenAI, Enterprise Applications, Containerized Applications, and Serverless applications.- Build, evaluate, and optimize data science models to solve focused business problems such as improving customer targeting, predicting product demand, and identifying growth opportunities.- Work closely with Go-To-Market, field teams, and product teams to understand key challenges and inform strategic initiatives with data-driven recommendations.- Communicate analysis, results and recommendations clearly to key stakeholders to influence Go-To-Market strategy.- Keep updated on latest data science and machine learning advancements and evaluate new methods for applicability to current business problems.- Develop best practices for building, evaluating, deploying and monitoring analytical models in production environments.A day in the lifeAs a Data Scientist on the Targeting and Tooling team, a typical day may start by meeting with our go-to-market teams to deeply understand the customer challenges they want to solve, the AWS services and technologies that can address those needs, and the key success metrics for their initiatives. You will translate business goals into focused, data-driven projects. This involves identifying leading indicators and unique data sources to model ideal customer profiles and high-potential targets. About the teamThe Targeting and Tooling team plays a crucial role in enabling AWS go-to-market teams to achieve their strategic initiatives. We leverage cutting-edge data science and machine learning techniques to equip our sales and marketing teams with actionable insights that accelerate cloud transformation.Our core mission is to provide data-driven targeting that allows AWS go-to-market teams to anticipate customer needs early and identify high-potential opportunities. Working closely with stakeholders, we first strive to thoroughly understand existing solutions and offerings along with their target outcomes. With this context, we develop innovative predictive models that identify both current ideal customers and those likely to expand their AWS footprint over time. In addition, we create novel metrics and adoption models that measure the overall success of the initiative.The Targeting and Tooling group produces the actionable intelligence that directly informs go-to-market strategies worldwide. The insights we uncover help prioritize accounts and opportunities to drive AWS growth. As a team of elite data scientists and machine learning engineers, we shape plans that support sales, marketing, and cloud adoption success across all industries.BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression ...

Amazon Games is seeking a highly effective generative AI scientist to build and integrate new groundbreaking AI into our game pipelines and customer experiences. Our mission to be the most customer obsessed video game company requires exploration into these cutting-edge tools to improve the quality and quantity of fun gameplay for our players; while ensuring their ethical and responsible implementation. At Amazon Games we are creating games like the open world MMO New World and working with partners to publish hit games like Lost Ark. Amazon is working on unannounced titles for PC, console, and mobile platforms.We believe passionately that employing a diverse workforce is central to building the best games for our players. We make recruiting decisions based on your experience and skills and value your passion to discover, invent, simplify, and build.Key job responsibilities- Drive, design, develop, and support highly ambiguous and complex generative AI services for games using AWS or local hardware resources.- Collaborate with game team engineers to integrate generative AI tools into developer workflows.- Stay up to date with and analyze the latest advancements in generative AI technology and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved.- Work with other game teams in the organization to expose sharable pieces of generative AI technology.- Consult and contribute to evaluations of other internal or 3rd party generative AI services that could be leveraged by the project or the organization.- Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.- Assess costs (both monetary and environmental) of generative AI features.- Be an advocate for players and developers: Insist on the highest standards, drive to operational excellence, help create functional and engaging customer-centric features.A day in the life- You thrive in a collaborative environment where your decisions have significant impact and influence.- You are passionate about building game experiences that delight players.- You deliver great workflows and tools to your fellow developers and constantly seek improvement.- You want to be part of something exciting and unique in the gaming ecosystem.- Your day-to-day involves working closely with designers and artists to unlock generative AI features and tools; this involves a few regular meetings but mostly a lot of interaction either face-to-face or invirtual channels - the structure of your day includes these interactions but also a lot of focus time in implementing these ideas.About the teamOur product is an unannounced game built by a team with veterans from many popular titles like Destiny, Bioshock, Bioshock Infinite, Hogwarts Legacy, Mortal Kombat, World of Warcraft, EverQuest, EverQuest 2, PlanetSide 2, and H1Z1. Come join our passionate team and help make the next game that everyone will be downloading to their PCs and consoles!BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- PhD or Masters of Science degree in Machine Learning, Natural Language Processing (NLP), or a related quantitative field and 6+ years of Research Experience- Experience utilizing ML frameworks (i.e. PyTorch, TensorFlow, Keras, or similar)- Extensive knowledge and practical experience in at least one of these areas of machine learning: Deep Learning systems, NLP, Reinforcement Learning- Experience in designing, deploying ML/AI services and making them ready for production ...

Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive language data scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge.You will collaborate with fellow language data scientists, program managers, as well as stakeholders in science, engineering, and product teams to understand the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement.You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other language data scientists and scientists to design and implement principled strategies for data optimization.Key job responsibilities- Collaborate with Scientists and Software Engineers to help design APIs and evaluate performance of LLM's- Produce and manipulate different types of language data, analyze, and provide efficient solutions- Design and lead a data collection; define scope and target, provide a guideline and training, guide teams cross sites to meet the quality bar, and run evaluation of data for hand off- Engineer prompts to guide generative AI to produce desired outputs in context- Automate operations and perform data analysis using Python or other scripting language- Advocate strict adherence to annotation guidelines- Test and deploy changes to Alexa's language understanding codebase- Identify and solve production issues that are impacting the Alexa customer experience,- Collaborate with other linguists, scientists and designers in creating optimal solutions to elevate the customer experience- Own the customer-facing machine learning and deterministic models for a specific domain of features- Use modeling tools to bootstrap and test new functionalitiesBASIC QUALIFICATIONS- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Key job responsibilitiesWe are seeking an enthusiastic Data Scientist to:- Design and implement state-of-the-art solutions for never-before-solved problems. - Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience. - Partner with technology and product leaders to solve business problems using scientific approaches. - Build new tools and invent business insights that surprise and delight our customers. - Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes. - Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors. - Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.A day in the lifeAs a member of the Software Research and Data Science (SWRDS) team, there are multiple different paths you can take. For example, you may conduct deep dive analysis of both structured and unstructured robotics field analyses. Some of our team members focus on modeling, pipelines and tooling work, while others focus more on analytic work. We also have team members working on early-concept solution analysis (leveraging simulations, ML-based models, experimenting with new solutions). About the teamThe Amazon Robotics Software Research and Data Science (SWRDS) team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire Amazon Robotics system. This includes operational and software scaling characteristics, bottlenecks, and robustness to “chaos monkey” stresses -- we inform critical engineering and business decisions about Amazon’s approach to robotic fulfillment.BASIC QUALIFICATIONS- Master's degree or higher in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of professional or military experience- 1+ year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related field- 1+ year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) ...

Our team's mission is to improve Shopping experience for customers interacting with Amazon devices via voice. We research and develop advanced state-of-the-art speech and language modeling technologies. Do you want to be part of the team developing the latest technology that impacts the customer experience of ground-breaking products? Then come join us and make history.Key job responsibilitiesWe are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech and Language technology.As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and modelling techniques to drive the state of the art in speech synthesis.Position Responsibilities:* Participate in the design, development, evaluation, deployment and updating of data-driven models for Speech and Language applications.* Participate in research activities including the application and evaluation of Speech and Language techniques for novel applications.* Research and implement novel ML and statistical approaches to add value to the business.* Mentor junior engineers and scientists.BASIC QUALIFICATIONS- Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations- PhD- Experience in Python, Perl, or another scripting language ...

Amazon Advertising seeks the world’s brightest and best leaders to drive next-generation solutions that enable advertisers to reach customers across our owned and operated sites, on other high-quality publisher sites across the web, and on millions of desktops, mobile, and connected TV devices. Our mission is to offer the world’s most customer-centric advertising. Amazon DSP (ADSP) is our programmatic advertising product for campaigns spanning Display, Video, and Audio across Amazon properties (e.g., Amazon.com, IMDb TV, Twitch, Fire TV, and Amazon Music) and tens of thousands of third-party (3P) websites and apps. We are seeking Data Engineer II who wants to join a team focused on building large-scale systems that integrate across multiple sources to provide unique advertising products. These products give advertisers the controls and data necessary to improve the relevancy and performance of their ads.We are hiring a Data Engineer II to help us accelerate our efforts in delighting our Advertising customers. We consider our Data Engineers owners of the data to which they can propose, own, and then deliver on new product ideas. We expect this person to build new data platform solutions as an owner end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these datasets to answer business questions and drive growth.To be successful in this role, you should have broad skills in Infrastructure design, be comfortable dealing with large and complex data sets, have experience building near real-time and batch processing data pipelines. Must be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.Key job responsibilities* Architect a scalable, reliable, and high-performing data processing pipeline on AWS. Leverage AWS services like EMR, Glue, Kinesis, S3, and Managed Airflow to build the data infrastructure. * Ensure the platform can efficiently handle the ingest, processing, and storage of massive data volumes.* Highly proficient in writing code in SQL and Python.* Develop optimized ETL/ELT pipelines to transform raw data into analytical datasets* Implement data partitioning, bucketing, and indexing strategies to enable high-performance queries* Work closely with data scientists, software engineers, product managers, and BIEs* Stay updated with the latest AWS services and data engineering best practicesAbout the teamThe ADSP Product Analytics team is responsible for building platform that can make access to insights and metrics as easy as shopping on Amazon.com. And working backwards from this, we provide PMs access to KPIs and other insights via interactive visualization. We also enable our customers to analyze the data through self-serve query capabilities provided in an easy to use platform using Amazon’s out of box solutions. In addition to analytics, we provide data engineering support by building a scalable infrastructure in AWS that ensures data availability, security and accuracy.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Amazon CloudWatch is the native AWS monitoring and observability service for cloud resources and applications. We are seeking a talented Senior Applied Scientist to develop next-generation scientific methods and infrastructure to support a core AWS business that delivers critical services to millions of customers operating at scale. This is a high visibility and high impact role that work on highly strategic projects in the AI/ML and Analytics space, will interact with all levels of AWS leadership.We are developing solutions that not only surface the “what” but also the “why” and “how to fix it”, without requiring operators to have extensive domain knowledge and technical expertise to efficiently troubleshoot and remediate incidents. Using decades of AWS operational excellence coupled with the advances in LLMs and Gen-AI technologies, we are transforming the very core of how customers can effortlessly interact with our offerings to build and operate their applications in the cloud.We are hiring to grow our team, and are looking for well-rounded applied scientists with backgrounds in machine learning, foundation models, and natural language processing. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, mission driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesAs an Applied Scientist II you will be responsible for* Research and development of algorithms that improve training of foundation models across pre-training, multitask learning, supervised finetuning, and reinforcement learning from human feedback* Research and development of novel approaches for anomaly detection, root cause analysis, and provide intelligent insights from vast amounts of monitoring and observability data* Collaborating with scientists, engineers, and Product Managers across CloudWatch team as well as directly with customers* Lead key science initiatives in strategic investment areas of AI/ML/LLM Ops and Observability* Be an industry thought leader representing Amazon at top-tier scientific conferences* Engaging in the hiring process and developing, growing, and mentoring junior scientistsA day in the lifeWorking closely with and across agile teams, you will be able to see and feel the impact of your work on our customers. This is a high visibility and high impact role that will interact with all levels of AWS leadership. Our ideal candidate is excited about the incredible opportunity that cloud monitoring represents and is deeply passionate about delivering the highest quality services leveraging AI/ML/LLMs. You’re naturally customer centric and thrive in a fast-paced environment that requires strong technical and business judgment and solid communication skills.About the teamAmazon CloudWatch Logs is a core monitoring service used by millions of AWS customers. We move fast and have delivered remarkable products and features over the last few years to streamline how AWS customers troubleshoot their critical applications.Our mission is to be the most cost effective, integrated, fast, and secure logs management and analytics platform for AWS customers.We are a diverse group of product and engineering professionals that are passionate about delivering logging features that delight customers operating at any scale.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics is seeking students to join us for a 5-6 month internship (full-time, 40 hours per week) as Data Science Co-op.Please note that by applying to this role you would be considered for Data Scientist spring co-op and fall co-op roles on various Amazon Robotics teams. The internship/co-op project(s) and location are determined by the team the student will be working on.Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-roboticsAbout the teamAmazon empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.BASIC QUALIFICATIONS- Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, Mathematics, Economics, Computer Science or a related quantitative field- Degree program must be based in the United States with an expected graduation of December 2025 or later- Must be eligible for and available for full-time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co-op- At least 1 year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related- At least 1 year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication- At least 1 year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) ...

Are you passionate about using Software Engineering as a way to enable automation, knowledge extraction, and artificial intelligence through the use of Machine Learning, Natural Language Processing, Recommender systems, Computer Vision, and Optimization? We are building a team of experienced SW Engineers to support this vision.On this team you will partner with a mature team of Scientists to create the infrastructure and processes needed to support multiple use cases around our manufacture-on-demand processes. We produce units as they're ordered, which reduces excess production and we are using large datasets to properly support this optimization efforts..Our team has green-field opportunities to create the right infrastructure to support these use cases. We offer autonomy, value end-to-end, ownership, and a strong partnership with our experienced Science sister team.As a Software Development Engineer, you will define, design, implement and test the process and infrastructure to enable the Science community to develop, productionalize and monitor their models.You will be working with large distributed systems of data and providing technical leadership to product managers, teams, and organizations building infrastructure to support these machine learning solutions.As a SW Engineer, you will create solutions that are following the required Engineering rigor, building systems that follow the right level of performance, scalability, and availability standards.Come join us as we continue to revolutionize the book industry!Key job responsibilities Own the design, implementation, and verification of components leveraging standard software engineering methodologies Translate functional and technical requirements into detailed architecture and design Participate in code and design reviews to maintain our high development standards Work with other teams to deliver and operate large scale, distributed services in the cloud Work on overall system architecture, scalability, reliability, and performance Mentor other engineers, define our technical culture, and help to build a fast-growing teamBASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team ...

Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecasting team in the Supply Chain Optimization Technologies (SCOT) group is looking for innovative, passionate and results-oriented Data Scientists to answer these questions. You will have an opportunity to own the long-run outlook for Amazon’s global consumer business and shape strategic decisions at the highest level. The successful candidate will be able to formalize problem definitions from ambiguous requirements, build models using Amazon’s world-class data systems, and develop cutting-edge solutions for non-standard problems.Key job responsibilities- Develop new forecasting models or improve existing approaches using scalable techniques.- Extract data for analysis and model development from large, complex datasets to explain demand trends.- Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production.- Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders.- Drive innovation and best practices in applied research across the Amazon research science community. BASIC QUALIFICATIONS- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment- Bachelor's degree ...