Job Description
Full job description
Seattle, WA
Associate Data Scientist (6 of 6 positions)
Job Description
We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights.
Key Responsibilities:
Application Architecture Design, Development, & Integration:
o Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment.
o Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation.
AI & Machine Learning Models Development:
o Develop generative and predictive AI models (including NLP, computer vision, etc.).
o Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions.
o Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions.
o Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency.
Model Deployment & Maintenance:
o Deploy AI models into production environments, ensuring scalability, performance, and optimization.
o Monitor and troubleshoot deployed models and pipelines for optimal performance.
o Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses).
Emerging Technologies:
o maintain involvement with internal and external training and relevant discussions; stay at the forefront of emerging AI techniques, tools, and trends.
Collaboration & Communication:
o Collaborate with cross-functional teams to align AI projects with business requirements and strategic goals.
o Willingness to contribute to and participate in developing and harvesting resuable assets and demos, sales pitches.
o Communicate complex AI concepts and results to non-technical stakeholders.
Required Qualifications:
Education:
o Bachelor’s or greater degree in Machine Learning, AI, or equivalent professional experience.
Experience:
o Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role.
o Experience in model deployment, MLOps, model monitoring, and managing data/model drift.
o Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion).
Technical Skills:
o Proficiency in programming languages such as Python and SQL.
o Proficiency in URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation.
o Proficiency with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Databricks, PySpark).
o Familiarity with AI frameworks such as LangChain and machine learning libraries like TensorFlow, PyTorch, and scikit-learn.
o Knowledge of deployment tools (e.g., Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy).
o Understanding of data engineering principles, including experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis).
Additional Skills:
o Strong problem-solving and troubleshooting skills.
o Familiarity with generative AI techniques, such as retrieval-augmented generation (RAG) patterns.
o Experience with Graph database technology a plus. (e.g. Neo4J, Ontotext)
o Ability to collaborate effectively across teams.
o Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Job Description
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Job Description - Grade Specific
The primary responsibilities involves assisting with data cleaning, analysis, model development, visualization, and collaborating with the team to support data driven decision making.
The base compensation range for this role in the posted location is $46,400 to $111,090.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, ****** orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code
418765-en_GB
Posted on
17 Feb 2026
Experience level
Experienced Professionals
Contract type
Permanent
Location
Seattle, WA
Business unit
I and D Global Business Line
Brand
Capgemini
Professional communities
Data & AI
Seattle, WA
Associate Data Scientist (6 of 6 positions)
Job Description
We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights.
Key Responsibilities:
Application Architecture Design, Development, & Integration:
o Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment.
o Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation.
AI & Machine Learning Models Development:
o Develop generative and predictive AI models (including NLP, computer vision, etc.).
o Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions.
o Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions.
o Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency.
Model Deployment & Maintenance:
o Deploy AI models into production environments, ensuring scalability, performance, and optimization.
o Monitor and troubleshoot deployed models and pipelines for optimal performance.
o Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses).
Emerging Technologies:
o maintain involvement with internal and external training and relevant discussions; stay at the forefront of emerging AI techniques, tools, and trends.
Collaboration & Communication:
o Collaborate with cross-functional teams to align AI projects with business requirements and strategic goals.
o Willingness to contribute to and participate in developing and harvesting resuable assets and demos, sales pitches.
o Communicate complex AI concepts and results to non-technical stakeholders.
Required Qualifications:
Education:
o Bachelor’s or greater degree in Machine Learning, AI, or equivalent professional experience.
Experience:
o Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role.
o Experience in model deployment, MLOps, model monitoring, and managing data/model drift.
o Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion).
Technical Skills:
o Proficiency in programming languages such as Python and SQL.
o Proficiency in URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation.
o Proficiency with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Databricks, PySpark).
o Familiarity with AI frameworks such as LangChain and machine learning libraries like TensorFlow, PyTorch, and scikit-learn.
o Knowledge of deployment tools (e.g., Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy).
o Understanding of data engineering principles, including experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis).
Additional Skills:
o Strong problem-solving and troubleshooting skills.
o Familiarity with generative AI techniques, such as retrieval-augmented generation (RAG) patterns.
o Experience with Graph database technology a plus. (e.g. Neo4J, Ontotext)
o Ability to collaborate effectively across teams.
o Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Job Description
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Job Description - Grade Specific
The primary responsibilities involves assisting with data cleaning, analysis, model development, visualization, and collaborating with the team to support data driven decision making.
The base compensation range for this role in the posted location is $46,400 to $111,090.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, ****** orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code
418765-en_GB
Posted on
17 Feb 2026
Experience level
Experienced Professionals
Contract type
Permanent
Location
Seattle, WA
Business unit
I and D Global Business Line
Brand
Capgemini
Professional communities
Data & AI
💡 Quick Summary
Seeking a career-building opportunity? The Associate Data Scientist (6 of 6 positions) position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Seattle offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
