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senior data scientist

Boeing

<div>Seattle, Washington; Berkeley, Missouri
Job ID JR2026506565 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.
The Boeing Company is currently seeking a Senior Data Scientist to join the Boeing Test &amp; Evaluation (BT&amp;E) Business Operations team in Berkeley, MO or Seattle, WA.
The candidate will lead cross-functional teams to define, build, validate, and deploy advanced predictive and prescriptive analytics solutions that drive measurable business outcomes. This senior individual contributor / technical leader will evaluate business objectives, translate stakeholder needs into analytic requirements, choose appropriate methods and algorithms, perform data preparation and feature engineering, and operationalize models into production systems. The role requires strong domain/business acumen, excellent communication and leadership skills, hands-on modeling experience, and proven success deploying production-grade analytics.
Position Responsibilities:<ul><li>
Define the strategy to build highly reliable and scalable ML and AI solutions that align with the organization&rsquo;s business goals and objectives</li><li>
Lead the creation and implementation of scalable, robust, and high-performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open-source frameworks</li><li>
Design, build, and optimize machine learning models, ensuring accuracy, efficiency, and scalability</li><li>
Partner with product managers, engineers, and business stakeholders to define problem statements, success metrics, and deployment requirements</li><li>
Collaborate with data engineers, data architect, software developers, and DevOps teams to integrate ML models into production systems</li><li>
Assess and recommend ML tools, frameworks, and platforms to deliver business value and foster innovation</li><li>
Monitor and optimize ML models and systems for latency, throughput, and cost-efficiency in production</li><li>
Ensure ML systems adhere to ethical guidelines, data privacy regulations, and industry standards</li><li>
Design and development of Generative AI and AI use cases (LLMs, RAG, Agentic, multi model AI, fine tuning. Vector databases and prompt engineering)</li><li>
Lead organizational change for the adoption of new platforms, machine learning tools and analytics workflows</li><li>
Own all communication and collaboration channels pertaining to strategy and assigned projects, including regular stakeholder, senior leadership, and cross-team updates</li></ul>
Basic Qualifications (Required Skills/Experience):<ul><li>
Ability to obtain a US Security Clearance for which the US Government requires US Citizenship</li><li>
Bachelor&rsquo;s degree or higher</li><li>
5+ years of experience with AI/ML technologies, frameworks, models and ensembles</li><li>
5+ years with container and container orchestration (Docker and Kubernetes)</li><li>
5+ years of experience with data engineering and data pipelines for On-Prem cloud, hybrid data models and data warehouses</li><li>
5+ years of experience with software programming/scripting (such as Python, Unix/Linux type batch scripting, FORTRAN, C / C++)</li></ul>
Preferred Qualifications (Desired Skills/Experience):<ul><li>
5+ years of experience in the manufacturing or aviation domain</li><li>
5+ years of experience with big data technologies and data engineering practices</li><li>
Experience in multi-cloud and hybrid AI architecture</li><li>
Experience with generative AI, NLP, computer vision, or reinforcement learning</li><li>
Experience with CI/CD pipelines, DevOps practices and containerized deployments</li><li>
Experience with open-source ML projects or publications in relevant fields</li></ul>
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.
Conflict of Interest:
Successful candidate for this job must satisfy the Company&rsquo;s Conflict of Interest (COI) assessment process.
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: $162,350&ndash; $234,600 

Applications for this position will be accepted until May. 12, 2026 

Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.62 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Relocation
Relocation assistance is not a negotiable benefit for this position.
Security Clearance
This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.
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 Data Scientist

<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

Amazon.com

<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

<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>2+ years of data scientist experience</li><li>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</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience effectively communicating complex concepts through written and verbal communication</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 - 157,300.00 - 212,800.00 USD annually 
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually 
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div>

Data Scientist II, Amazon Stores Finance Science

Capgemini

<div>
 
 
 Data Scientist
 
 
 
 Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
 
 
 
 Job Description
 
 
 
 As a Data Scientist , you will lead the development and implementation of advanced data engineering solutions to support the deployment and optimization of Generative AI models. Your role will involve leveraging your extensive experience to design robust, scalable, and innovative data architectures that align with the unique requirements of General Artificial Intelligence (GenAI) applications.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production generative AI systems.
 </li>
 <li>
 Production level ML workloads for customers using Databricks platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps
 </li>
 <li>
 Build and maintain data engineering solutions on cloud platforms using hyperscaler services.
 </li>
 <li>
 Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring
 </li>
 <li>
 Design, develop, and maintain data pipelines to efficiently collect, process, and load data from various sources into data storage systems (e.g., data warehouses, data lakes).
 </li>
 <li>
 Understanding indexing and vectorization to use with Generative AI prompt engineering.
 </li>
 <li>
 Strong understanding of fundamental data science concepts in NLP, including selection and understanding of embedding models.
 </li>
 <li>
 Use hyperscaler technologies to support data needs for expansion of Machine Learning/Data Science capabilities including generative AI.
 </li>
 <li>
 Design, develop, and implement scalable data pipelines and ETL/ELT processes using Python, PySpark and API integrations.
 </li>
 </ul>
 
 
 Required Skill and Experience
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, data engineering, or a related field with 3+ year's experience (Master's preferred).
 </li>
 <li>
 Proven experience in data engineering, MLOps, ETL, and database management, QL and data manipulation languages.
 </li>
 <li>
 Azure, Python, Java, or Scala.
 </li>
 <li>
 data warehousing platforms (e.g., Databricks, Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark).
 </li>
 <li>
 highly scalable Data stores, Data Lake, Data Warehouse, Lakehouse, and unstructured datasets
 </li>
 </ul>
</div>

Data Scientist

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
If you are excited about applying your science and engineering skills in business problems in the space of Credit management, B2B Financial Service, and Payments, we invite you to consider this Applied Scientist opportunity within Amazon B2B Payments and Lending (ABPL). 
 
ABPL is seeking a Senior Applied Scientist who combines their scientific and technical expertise with business intuition to build flexible, performant, and global solutions for complex financial and risk problems. You will develop and deploy production models to enhance our product features &amp; processes that will delight our customers. 
 
Key job responsibilities 
As a Sr. Applied Scientist, you will design and build systems that support financial products. You will work closely with business partners, software and data engineers to build and deploy scalable solutions that deliver exceptional value for our customers. You will utilize intellectual and technical capabilities, problem solving and analytical skills, and excellent communication to deliver customer value. You will partner with product and operations management to launch new, or improve existing, financial products within Amazon. 
 
Responsibilities include: 
<ul><li>Understand business and product strategies, goals and objectives. Make recommendations for new techniques/strategies including GenAI innovations, agentic AI frameworks, and foundation models, and to improve customer experience and business outcomes</li><li>Apply advanced data mining, machine learning, and Generative AI techniques to create AI/ML capabilities and support Credit and Fraud Management
</li><li>Source, incorporate, and analyze alternative data to drive innovation, utilizing GenAI and foundation models
</li><li>Own production models (real time and batch), conduct code review and model monitoring to insist high bar of operating excellence and ensure high performant models
</li><li>Conduct research and educate business, product, marketing and product teams on the implementation of models and GenAI innovations, enabling strategic decision making through AI-powered insights and automation 
</li></ul> 
 
 
A day in the life 
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) Plan. 
 
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&rsquo;re passionate about this role and want to make an impact on a global scale, please apply!</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Master's degree or equivalent in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science</li><li>5+ years experience in a science role, applying AI/ML to solve complex problems for large-scale applications</li><li>Demonstrated fluency with GenAI tools (e.g., LLMs, code assistants) to accelerate model development, feature engineering, and code generation workflows</li><li>Superior analytical skills. Demonstrated ability to identify and solve ambiguous problems</li><li>Demonstrated attention to detail and desire to roll up your sleeves</li><li>Demonstrated ability to operate both strategically and tactically in a high-energy, fast-paced environment. High degree of organization and ability to manage multiple, competing priorities</li><li>Excellent communication (verbal and written) and collaboration skills that enable you to earn trust at all levels</li><li>Proficiency in Python, SQL, or other programming language</li><li>Experience developing machine learning solutions with AWS</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Ph.D. in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science</li><li>10+ years of practical work applying AI/ML to solve complex problems for large-scale applications experience</li><li>Experience designing and deploying AI-native systems that leverage foundation models, agentic frameworks, and LLM-powered automation</li><li>Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment</li><li>3+ years experience in credit underwriting or related work in financial services domain</li><li>Project management experience for working on cross-functional projects</li><li>Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems</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 - 183,800.00 - 248,700.00 USD annually 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Sr. Applied Scientist, Amazon B2B Payments and Lending, Credit and Fraud Science

Nordstrom

<div>
 Nordstrom is a specialty retailer offering the very best in fashion and customer service since 1901. We live by five simple values that guide how we work together day-to-day and how we deliver analytics &amp; data science products. We are customer-obsessed, owners at heart, curious and ever-changing, we extend ourselves to our peers and our customers, and we&rsquo;re here to win!
 
 
 The Digital Data Science team focuses on building and supporting AI/ML-powered products that shape the Nordstrom digital customer experience, including personalization and recommendation systems, conversational search, fraud detection, and other customer-facing intelligent features. As an integral part of our digital data science team, the Data Scientist I works alongside senior data scientists to develop and evaluate machine learning models that drive these products. This Data Scientist should have foundational knowledge of modern deep learning architectures, solid analytical skills to support model performance assessment through A/B testing and post-launch analysis, and the ability to communicate data insights and findings clearly to partners and the business.
 
 
 The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. The individual should be highly curious about the business and possess the skills to unlock rich, nuanced insights from complicated data and communicate those insights in a way that drives positive business outcomes.
 
 
 We are committed to building teams that reflect the diversity of our customers and active inclusion is core to how Nordstrom wins. We&rsquo;re an equal opportunity employer and encourage individuals from all backgrounds to apply. If the idea to make a difference in this vibrant intersection of fashion, data science, and technology excites you, join our world-class data science team!
 
 
 A day in the life...
 
 
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 Collaborate with product, engineering, and cross-functional partner teams to build and improve ML-powered digital products such as personalization, recommendation, conversational search, and fraud detection systems.
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 Design, train, fine-tune, and evaluate deep learning models, including transformer-based architectures, for applications such as recommendation, ranking, natural language understanding, and anomaly detection.
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 Extract and prepare large sets of data for analysis; improve existing data resources by building data pipelines using AWS/GCP tools and other cloud services.
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 Support senior data scientists on model deployment, contributing to prototyping, training, testing, and monitoring, while learning production serving best practices.
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 Work within and across teams to develop and deploy data products and data-driven software, driving collaboration and adoption on major data-science initiatives.
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 Support A/B testing and post-launch analysis to measure model impact, help diagnose why models are or are not working, and contribute to data-informed iteration on product features.
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 Help develop and drive adoption of best practices in all aspects of the Data Science workflow, including intake, design, code review, testing, automation, documentation, reporting, and long-term maintainability.
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 Actively learn from senior data scientists and analysts, growing in both technical skills and business acumen while contributing fresh perspectives to the team.
 
 
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 Minimum Qualifications Include&hellip;
 
 
 
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 1&ndash;3 years of hands-on professional experience in Data Science, Analytics, or a related quantitative field (including internships or research positions).
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 1+ years of working experience with Python or R, including data manipulation, analysis, and visualization.
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 Experience working in a highly collaborative technical environment (e.g., code sharing, using revision control, contributing to team discussions/workshops, and document sharing).
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 1+ years of working experience with machine learning and deep learning algorithms, including familiarity with transformer architectures and modern neural networks (e.g., attention mechanisms, embeddings, fine-tuning pre-trained models, as well as classical methods such as gradient boosting, collaborative filtering, etc.).
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 1+ years of working experience extracting and manipulating data using SQL; exposure to big-data tools such as Hive or Spark is a plus.
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 Master's degree in Data Science, Analytics, or Statistics
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 Exposure to ML model deployment workflows and A/B testing concepts; eagerness to learn production ML practices.
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 Passion and aptitude for turning complex business problems into concrete hypotheses that can be answered through rigorous data analysis and experimentation.
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 Ability to communicate analytical findings clearly to technical and non-technical audiences.
 
 
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 Our ideal candidate has&hellip;
 
 
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 Experience contributing to data science projects in a team setting (academic, internship, or professional).
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 Experience developing packages in Python along with clear documentation.
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 Exposure to ML model serving or deployment tools (e.g., SageMaker, AzureML, Docker, Flask) through coursework, personal projects, or internships.
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 Experience developing and deploying automated data pipelines using cloud services (e.g. AWS/GCP).
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 Strong background in model explainability, interpretability, and diagnostics&mdash;ability to systematically analyze and articulate why a model is or is not performing as expected.
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 Experience with causal inference and experimentation frameworks, including designing and analyzing online experiments to measure incremental model impact.
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 Familiarity with digital product domains such as personalization and recommendation engines, conversational/semantic search, fraud detection, or similar real-time, customer-facing ML applications.
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 Eagerness to learn from experienced data scientists and a proactive attitude toward professional growth.
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 Experience with NLP, LLM integration, or retrieval-augmented generation (RAG) pipelines for search or conversational AI applications is a plus
 
 
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 You&rsquo;ll love this Job If You
 
 
 &hellip;are a self-directed individual who operates with passion, urgency, focus, and discipline&hellip; put simply, you get stuff done.
 
 
 &hellip;have problem solving skills that are unparalleled&hellip;you are scrappy and resourceful
 
 
 &hellip;are an adaptable team player. You will enthusiastically take on other assignments as needed to support your team!
 
 
 &hellip;are detailed-oriented with a passion for data-driven decision-making balanced by a deep appreciation of uncertainty and the inherent limitations of data analysis
 
 
 &hellip;are someone who appreciates diversity in all its forms
 
 
 &hellip;are someone who appreciates a company that values and encourages work-life balance
 
 
 
 We&rsquo;ve got you covered&hellip;
 
 
 
 
 Benefits
 
 
 
 Our employees are our most important asset and that&rsquo;s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
 
 
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 Medical/Vision, Dental, Retirement and Paid Time Away
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 Life Insurance and Disability
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 Merchandise Discount and EAP Resources
 
 
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 A few more important points...
 
 
 The job posting highlights the most critical responsibilities and requirements of the job. It&rsquo;s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.
 
 
 For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
 
 
 Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.
 
 
 Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ&rsquo;s for relevant information and guidelines.
 
 
 &copy; 2022 Nordstrom, Inc
 
 
 Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.
 
 
 Nordstrom keeps job postings open for at least one day after the posting date.
 
 
 
 Pay Range Details
 
 
 
 The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.
 
 
 Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
 
 
 $121,500.00 - $188,500.00 Annual
 
 
 This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_16.pdf
 
 
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Data Scientist - Digital Data Science - Hybrid - Seattle, WA

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