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analytics senior manager

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Amazon Games Studios Finance team is seeking a highly effective Sr Financial Analyst to support our portfolio of game titles in development, including projects such as Courtroom Chaos with Snoop Dogg and upcoming Tomb Raider titles from Crystal Dynamics. The Studios Finance team owns title-level P&amp;Ls end-to-end and supports our business partners in managing not only their budgets but also their longer-term visions. 
 
This role will be part of broader Games Finance team in which you will be surrounded by people that are exceptionally talented, bright, and driven. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. You must have the ability to structure problems, perform analysis, and present to senior executives. Supporting business partners at Amazon requires the ability to dissent, while building trust with your business partners. 
 
Key job responsibilities 
<ul><li>Support title-level P&amp;L management, including forecast updates, budget management, business partner meetings, and potentially deal modeling</li><li>Support financial planning processes such as month-end close, guidance cycle updates, and variance commentary</li><li>Interface with cross-functional teams and business partners to collect inputs to transform into finance recommendations and analysis</li><li>Identify and develop process improvements to help the team reduce manual work and streamline reporting</li></ul> 
About the team 
Amazon Games brings together Amazon Games Studios and Amazon Luna to deliver engaging experiences to a broad audience of players. Amazon Luna is a cloud gaming service included with Prime that lets players instantly access a curated library of games across the devices they already own&mdash;no console or downloads required. Amazon Games Studios develops and publishes original titles in partnership with internal teams and external developers.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of tax, finance or a related analytical field experience</li><li>Bachelor's degree in finance, accounting or related field</li><li>Experience in financial modeling, P&amp;L management or analysis</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)</li><li>Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 73,600.00 - 128,800.00 USD annually 
USA, WA, Seattle - 82,700.00 - 117,100.00 USD annually</div>

Sr Financial Analyst, Amazon Games

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale. 
 
We are looking for a data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores. 
 
We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making with science. The ideal candidate combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action. 
 
Key job responsibilities 
 
Demonstrating thorough technical knowledge, effective exploratory data analysis, and model building using industry standard ML models 
Working with technical and non-technical stakeholders across every step of science project life cycle 
Collaborating with finance, product, data engineering, and software engineering teams to create production implementations for large-scale ML models 
Innovating by adapting new modeling techniques and procedures 
Presenting research results to our internal research community<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>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</li><li>4+ years of data scientist experience</li><li>Experience with statistical models e.g. multinomial logistic regression</li><li>Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science</li><li>Experience managing data pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience as a leader and mentor on a data science team</li><li>Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)</li><li>Master's degree</li><li>Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Sunnyvale - 183,000.00 - 247,600.00 USD annually 
USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually 
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually</div>

Senior Data Scientist, Amazon Stores Finance Science, Amazon Stores Finance Science

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
AWS Trainium is deployed at scale, with millions of chips in production, used for training and inference of frontier models. AWS Neuron is the software stack for Trainium, enabling customers to run deep learning and generative AI workloads with optimal performance and cost efficiency.
 
 
AWS Neuron is hiring a Principal Technical Product Manager to define and drive product strategy for training software on Trainium. This includes distributed training libraries, post-training workflows (RLHF, DPO, fine-tuning), reinforcement learning frameworks, and training performance optimization. Your mission is to enable researchers and operators to train frontier models at scale on Trainium, from single-node experimentation to distributed training across thousands of nodes.
 
 
You will be the champion inside AWS for frontier model builders pushing the bounds of scale and resilience for current and emerging training paradigms. You will work with customers inside and outside the company to identify key improvements and stay ahead of the training landscape. You will define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium.
 
 
To be successful, you will partner with engineering teams building training libraries and distributed training infrastructure, applied scientists developing optimization techniques, and PMs responsible for compiler, runtime, NKI, and infrastructure. You will develop deep knowledge of AI/ML training architectures, distributed training systems, model parallelism strategies, and training performance optimization to effectively define product strategy and make informed technical decisions.
 
 
The Ideal Candidate
 
 
The ideal candidate will have solid understanding of large-scale model training, distributed training architectures, post-training workflows, and reinforcement learning. They should be able to assess technical implications of training software stack decisions, understand customer needs, and drive developer experience improvements. The ideal candidate can navigate ambiguity in a fast-moving, early-stage initiative, balance competing priorities across multiple workstreams, and drive alignment across engineering and science stakeholders with excellent written and verbal communication abilities 
 
Key job responsibilities 
Training Product Strategy &amp; Roadmap
 
 
Define and execute training product strategy and roadmap working backwards from customer requirements in collaboration with engineering leadership. Define the vision for how customers train frontier models at scale on Trainium, balancing performance, developer experience, and AI/ML ecosystem compatibility. Produce PRFAQs and PRDs for training capabilities. Drive technical alignment across Neuron training libraries, distributed training infrastructure, and dependencies. Partner with PMs responsible for compiler, NKI, runtime, and infrastructure. Drive trade-offs between training performance, scalability, developer experience, and AI/ML ecosystem compatibility. Define requirements for reusable training building blocks that compose into end-to-end workflows.
 
 
Post-Training, RL &amp; Emerging Workflows
 
 
Drive strategy for post-training workflows including RLHF, DPO, reward modeling, and fine-tuning at scale. Define requirements for how Neuron supports emerging training paradigms, model architectures, and RL-based optimization loops. Lead the product experience for RL research-to-production workflows on Trainium. Create and optimize RL libraries and frameworks to help researchers and production model builders.
 
 
Customer Engagement &amp; Enablement
 
 
Work with BD, Solutions Architecture, and GTM teams to engage customers training frontier models on Trainium. Understand their distributed training challenges, RL needs, performance optimization requirements, and framework preferences. Translate customer pain points into product requirements. Define success metrics for training adoption and performance. Support customer enablement for training migration and optimization.
 
 
Training AI/ML Ecosystem &amp; Delivery
 
 
Define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium. Own the technical depth on training-specific AI/ML ecosystem tools and define how Neuron's training libraries integrate with them. Track training-specific AI/ML ecosystem trends and feed them into product planning. Drive open source community engagement and upstream contributions for training-related tools. Coordinate with BD on partnership discussions where training-specific technical input is needed.
 
 
Launch &amp; Go-to-Market
 
 
Lead end-to-end launches for training capabilities, coordinating documentation, field enablement, and customer communications. Partner with Marketing and Solutions Architecture to drive awareness and adoption. Define launch success criteria and track adoption metrics.
 
 
About the 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 operate with startup like velocity, prioritizing talent acquisition, hands on leadership, and flexible organization. Our senior members enjoy one on one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. 
 
 
 
 
Diverse Experiences 
 
 
 
 
AWS values diverse experiences. Even if you do not meet all of the 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. 
 
 
 
 
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 conferences, inspire us to never stop embracing our uniqueness. 
 
 
 
 
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 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 &amp; Career Growth 
 
 
 
 
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. 
 
 
 
 
About Amazon Annapurna Labs 
 
 
 
 
Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. 
 
 
 
 
About AWS Utility Computing (UC) 
 
 
 
 
AWS Utility Computing (UC) provides 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, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. 
 
 
 
 
About 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. 
 
 
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>7+ years of working as a Technical Product Manager experience</li><li>Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent</li><li>Experience with large-scale model training workflows, including solid knowledge of distributed training concepts</li><li>Familiarity with major AI/ML training frameworks (JAX or PyTorch) and how training libraries interact with them</li><li>Experience driving product strategy, long-term roadmap development, and cross-organizational alignment</li><li>Excellent written and verbal communication abilities, including executive-level communication</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with PyTorch or JAX distributed training</li><li>Track record of driving developer training libraries and tools</li><li>Experience with design and scaling of training optimization software (e.g., NeMo, TorchTitan, TRL, VeRL, MaxText, AXLearn, or similar)</li><li>Experience leading RL for research-to-production at scale</li><li>Experience with post-training workflows including RLHF, DPO, reward modeling, and fine-tuning</li><li>Experience with AI/ML training accelerators and hardware, including training performance optimization, profiling, and tooling</li><li>Experience with distributed training of large-scale models including model parallel training techniques (tensor, pipeline, sequence, and expert parallelism)</li><li>Experience working on open source and GitHub-first developer products with deep customer interactions</li><li>Track record of driving open standards and AI/ML ecosystem integration for training workflows</li><li>Experience operating in early-stage, ambiguous environments with startup-like velocity</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 208,300.00 - 281,800.00 USD annually 
USA, WA, SEATTLE - 181,100.00 - 245,000.00 USD annually 
USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually</div>

Principal PMT-ES - AI/ML Training, Annapurna Labs

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The AWS Data and AI Strategic Partner GTM team supports the world's most innovative partners - from breakthrough startups to Large Language Model Providers (LLMs) to global tech giants - helping them envision and build the future of autonomous AI systems. The Senior WW Partner GTM Specialist for Agentic AI and AI Security will be the driving force behind AWS's partner strategy for Agentic AI. Your strategies will shape how businesses evolve in the age of AI agents, your insights will influence product directions at AWS, and your vision will help partners transform their business models for the AI era. 
 
This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents. 
 
If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future. 
 
Key job responsibilities 
Key Responsibilities: 
<ul><li>Collaborate with AWS GenAI partners, helping them envision and implement agent-based solutions that deliver exceptional customer value. Your insights will shape both partner strategies and AWS's approach to this transformative technology.</li><li>Drive strategic initiatives to accelerate Agentic AI adoption with a core set of strategic partners</li><li>Develop and execute comprehensive partner strategies that scale agent-based solutions and use cases</li><li>Provide thought leadership on how Agentic AI transforms partner business models and creates new opportunities</li><li>Build and manage programs for partner enablement, certification, and funding focused on agent technologies</li><li>Analyze market trends and gather partner/customer feedback to inform AWS's Agentic AI strategy</li><li>Create scalable frameworks that enable partners to successfully build and deploy agent-based solutions</li><li>Collaborate with AWS service teams to align partner requirements with product development</li><li>Lead the development of partner-ready go-to-market content, resources, and activities
</li></ul> 
A day in the life 
<ul><li>Develop AWS strategy for Agentic AI and AI Security partner GTM</li><li>Drive consensus across service teams, field sales, partner management, marketing, legal, and partner program teams.</li><li>Conduct analysis on AWS customer and partner adoption trends
</li><li>Work with a strategic Generative AI or AI Security partner to define and execute joint sales and Go-to-Market (GTM) programs.</li><li>Drive a special project of strategic initiative across AWS highly matrixed organization</li><li>Analyze performance metrics and prepare MBRs, 2x2 for leadership review. Coordinate with various teams to ensure alignment on deliverables and timelines.</li><li>Build customer and field facing enablement materials including sales plays, decks, and solution briefs</li></ul> 
About the team 
The AWS Data &amp; AI Partner GTM team isn't just building partnerships - we're creating the future of intelligent systems through an elite network of innovators. We're the driving force behind AWS's most strategic partner initiatives across data, GenAI, and autonomous agents, bringing together the world's most innovative partners to pioneer transformative solutions. 
 
Our vision is bold: we're building the world's premier Data &amp; AI partner network, where technical excellence drives remarkable innovation. From helping enterprises unlock the value of their data to advancing the frontier of GenAI, we champion emerging technologies that reshape how businesses operate. Our team works at the intersection of partner innovation and AWS's most strategic initiatives, from data foundations to autonomous agents, creating opportunities that define the future of business technology. 
 
What makes our team unique is our position as strategic orchestrators - we're not just enabling partner success, we're shaping the future of data and AI adoption. We work directly with category-defining ISVs and startups as well as AWS' most innovative service teams. Through our work, we're not just witnessing the data and AI revolution - we're actively driving it, creating scalable models that empower both our partners and AWS field teams to accelerate service adoption and deliver exceptional customer outcomes. Whether it's helping partners build advanced data analytics solutions or develop sophisticated GenAI applications, we're at the forefront of technology's most exciting frontiers. 
 
Diverse Experiences 
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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;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 Culture 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>5+ years of developing, negotiating and executing business agreements experience</li><li>5+ years of Go-To-Market, Business Development, Sales, or Consulting experience</li><li>5+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience</li><li>Experience developing strategies that influence leadership decisions at the organizational level</li><li>Experience managing programs across cross functional teams, building processes and coordinating release schedules</li><li>Experience selling enterprise software or cloud-based applications</li><li>Experience explaining complex technical concepts to various business and technical audiences</li><li>Experience presenting to both technical and non-technical executive audiences</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience interpreting data and making business recommendations</li><li>Experience identifying, negotiating, and executing complex legal agreements</li><li>Experience in AI Security, Cybersecurity or related field</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Mountain View - 162,700.00 - 220,200.00 USD annually 
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually 
USA, NY, New York - 162,700.00 - 220,200.00 USD annually 
USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually 
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually</div>

Sr. Worldwide Partner GTM Specialist - Agentic AI, Data & AI GTM

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. 
 
The Ads AI Core infrastructure team develops core services to support Ads agents needs for Advertiser Registration and Access Management, Ad Catalog Service, Billing, Data Ingestion/Publishing and Analytics that underpin advertising programs such as Sponsored Products and Sponsored Brands. This role will see you collaborate with a large number of teams across WW Advertising to drive key initiatives to improve resilience of advertising systems. 
 
We're looking for a Sr. Data Engineer who is passionate about data and the insights that large amounts of data can provide, experienced in designing and building data marts, and enjoys working with PB-scale data. The role will work with a team of business and tech savvy professionals (DEs, BIEs, SDEs, and PMs) to lay down scalable data architecture for ingesting large amounts of structured and unstructured datasets, building views that can be easily consumed by customers, and partnering with stakeholders to drive data-based business decisions. 
 
The ideal candidate will possess both a data engineering background and a strong business acumen that enables him/her to think strategically. He/she will experience a wide range of problem solving situations, requiring extensive use of data collection and analysis techniques such as data mining and machine learning. 
 
Key job responsibilities 
In this role, you will work with business leaders, engineers, and stakeholders across Ads, Sales, Finance, Marketing, and Service teams. You will: 
 
<ul><li>Develop and improve the current data architecture using AWS Redshift, AWS S3, AWS Aurora (Postgres) and Hadoop/EMR</li><li>Improve upon the data ingestion models, ETL jobs, and alarming to maintain data integrity and data availability</li><li>Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased datasets of advertiser experience</li><li>Partner with stakeholders to build and verify hypothesis to improve business performance</li><li>Manage and support business critical reports and reporting tools to monitor KPIs
</li></ul></div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>5+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li><li>Experience mentoring team members on best practices</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li><li>Experience operating large data warehouses</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, SEATTLE - 154,600.00 - 209,100.00 USD annually</div>

Sr Data Engineer, Ads AI Core Services

ADF Medical

<div>
 
 JOB OPENING &mdash; Data Analyst (Entry Level)
 
 
 ADF Medical Services Inc.
 
 
 
 We're hiring a curious and motivated
 
 Entry Level Data Analyst
 
 to join our growing analytics team. If you have a passion for numbers, a keen eye for patterns, and a desire to make an impact in the healthcare industry &mdash; this is your opportunity to kickstart your data career!
 
 
 
 Role:
 
 Data Analyst (Entry Level)
 
 
 
 Department:
 
 Analytics &amp; Business Intelligence
 
 
 
 Location:
 
 Remote / On-Site
 
 🕐 Type:
 
 Full-Time / Part-Time
 
 
 
 Requirements
 
 
 
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Assist in collecting, cleaning, and organizing healthcare and operational datasets
 </li>
 <li>
 Support the analytics team in building basic reports and data summaries
 </li>
 <li>
 Help maintain and update dashboards and performance tracking tools
 </li>
 <li>
 Identify basic trends and patterns in data to support team insights
 </li>
 <li>
 Prepare clear and simple data reports for internal teams and management
 </li>
 <li>
 Collaborate with senior analysts and department teams on data projects
 </li>
 <li>
 Ensure data accuracy, consistency, and security across all platforms
 </li>
 <li>
 Participate in paid training, onboarding, and ongoing mentorship sessions
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive starting pay
 </li>
 <li>
 Paid training and mentorship from senior analysts
 </li>
 <li>
 Health, dental &amp; vision benefits (full-time employees)
 </li>
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 Paid time off &amp; paid holidays
 </li>
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 Flexible scheduling options
 </li>
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 Hands-on experience with real healthcare data
 </li>
 <li>
 Clear path for career growth within ADF Medical Services
 </li>
 <li>
 No experience needed &mdash; we will train you
 </li>
 </ul>
</div>

Entry Level - Data Analyst

Boeing

<div>Seattle, Washington
Job ID JR2026507072 Category Data Science &amp; Analytics Role Type Onsite Post Date Apr. 27, 2026<div> 
</div><div>Job Description
At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing's Global Talent, Development and Employee Experience organization has an exciting opportunity for a Senior Research Data Scientist to join the Employee Listening, Organizational Research, and Talent Assessment Team in Seattle, WA. The person in this role will lead deep dive analysis of employee survey, assessment, and workforce data, uncover meaningful organizational insights, and translate complex findings into compelling executive level narratives. This role sits at the intersection of research, analytics, strategy, and storytelling, ideal for someone who thrives on turning data into action and influencing senior leaders with clarity and confidence. You will help set the long-term research roadmap, defining measurement frameworks and success metrics, and establish standards for scientific rigor, reproducibility, practical and responsible use of AI/ML.
In this role, you will analyze large and complex datasets from surveys, assessments, HR systems, and business sources to generate actionable insights that inform organizational strategy, talent decisions, and employee experience improvements. You will lead mixed methods research, apply advanced statistical and predictive analytics, and use both structured and unstructured data to identify business trends, drivers, risks, and opportunities.
You will partner with executive leaders, HR, talent, and business teams to frame research questions, synthesize findings, and shape decisions through high impact reporting and storytelling. The ideal candidate combines strong technical expertise with the ability to simplify complex information, influence stakeholders, and help leaders understand the &ldquo;so what&rdquo; behind the data.
Position Responsibilities:<ul><li>
Lead advanced analysis of organizational survey, assessment, and workforce data to identify trends, drivers, risks, and opportunities</li><li>
Design and execute research approaches to answer complex business and organizational questions using survey, assessment, interview, and workforce data</li><li>
Translate ambiguous data into decision-ready executive syntheses, including recommendations, options, trade-offs, risks, and implementation considerations</li><li>
Develop high-impact executive reports, presentations, and dashboards that tell a compelling data story</li><li>
Partner with leaders, HR, talent, and business teams to define research questions and inform strategy</li><li>
Synthesize multiple data sources, including surveys, assessments, open-ended feedback, internal business outcome metrics, and external benchmarks</li><li>
Apply advanced statistical analysis, machine learning, and predictive modeling to surface insights and forecast outcomes</li><li>
Advance NLP methods, including sentiment analysis, topic modeling, and entity recognition, to analyze unstructured text data</li><li>
Conduct qualitative analysis, including coding, thematic analysis, and content analysis, to derive insights from narrative data</li><li>
Ensure scientific rigor, validity, and reproducibility across all research and analytics through documented methods, version-controlled code, QA checks, and peer review</li><li>
Present findings to senior stakeholders with confidence, clarity, and influence</li><li>
Improve research methodologies, reporting standards, and storytelling approaches</li><li>
Provide technical leadership, guidance, and mentoring to cross-functional partners and teammates</li><li>
Identify and implement practical AI use cases that streamline workflows, automate repetitive tasks, improve analytical efficiency, and scale research output</li><li>
Partner with other scientists to build team capability through coaching, documentation, and examples of effective day-to-day AI use</li></ul>
Basic Qualifications (Required Skills/Experience):<ul><li>
Master&rsquo;s degree or higher in a quantitative field such as Data Science, Statistics, Economics, Operations Research, Machine Learning, Engineering, Industrial Organizational Psychology, Organizational Behavior, Psychometrics, Sociology, or a related discipline</li><li>
5+ years of experience in data science, quantitative research science, or data analytics</li><li>
5+ years of experience with the following data analytics methods Machine Learning, Simulation, Statistics, Data Mining, Regression, Survival Analysis, Time series models</li><li>
5+ years of experience in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics) and building Descriptive, Predictive and Prescriptive models</li><li>
5+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc.)</li><li>
Experience in Business Intelligence/data analytics tools (Microsoft Power BI, Dashboards, SQL, Tableau, etc.)</li></ul>
Preferred Qualifications (Desired Skills/Experience):<ul><li>
10+ years of industry experience</li><li>
Experience with HR systems and employee data environments</li><li>
Experience applying AI to automate, accelerate, or optimize analytics, research, or reporting workflows</li><li>
Experience with employee engagement, culture, leadership, talent, or organizational effectiveness research</li><li>
Experience applying machine learning models from ideation through monitoring and maintenance</li><li>
Capability to present highly technical information to nontechnical audiences</li><li>
Capability to influence senior leaders on strategy, trade-offs, and policy decisions using evidence-based recommendations</li><li>
Experience applying leading AI techniques and libraries to solve complex business problems and deliver measurable results</li><li>
Strong visualization skills and experience creating compelling charts, dashboards, and executive summaries</li><li>
Experience teaching, mentoring, and developing others</li></ul>
Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Pay &amp; Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $255,000 - $345,000 

Applications for this position will be accepted until May. 19, 2026 

Export Control Requirements:
This is not an Export Control position.
Education
Master's Degree or Equivalent Required
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift 

Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.</div></div>
 <div><h2 class="jobSectionHeader">Your Benefits</h2>
No matter where you are in life, our benefits help prepare you for the present and the future.
<ul><li><div>Generous company match to your 401(k).</div></li>
<li><div>Industry-leading tuition assistance program pays your institution directly.</div></li>
<li><div>Fertility, adoption, and surrogacy benefits.</div></li>
<li><div>Up to $10,000 gift match when you support your favorite nonprofit organizations.</div></li></ul> 

These programs are subject to eligibility requirements and other conditions, which may differ for employees of certain subsidiaries or business units, or union-represented employees depending on bargaining agreement terms. If this information conflicts with the program documents, the latter shall control. This material is informational only.</div>

Senior Research Data Scientist

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