Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Job Description We are seeking a seasoned Senior Data Scientist with 15+ years of experience in developing and deploying machine learning solutions. The ideal candidate should have hands-on expertise in MLOps (at least two end-to-end production deployments) solution architecture and experience with one major cloud platform (AWS Azure or GCP) is an added advantage. Strong skills in Python SQL PySpark and ML/ NLP are required. Responsibilities <ul><li>Architect and deploy scalable ML/AI solutions including MLOps pipelines for CI/CD model monitoring and governance.</li><li>Lead the design and development of Data/ NLP solutions for applications such as text summarization conversational AI and entity recognition.</li><li>Build and optimize data pipelines using PySpark and SQL for large-scale data processing.scalable ML development and deployment</li><li>Collaborate with stakeholders to align Data initiatives with business goals and mentor junior team members.</li></ul> Skills <ul><li>10-12 years of exp in DataML </li><li>Programming: Python (Pandas NumPy PyTorch TensorFlow) SQL.</li><li>MLOps: Experience with tools like MLflow </li><li>Kubeflow Docker Kubernetes and CI/CD pipelines.</li><li>Data Engineering: Proficient in PySpark and distributed data processing.</li><li>Cloud Platforms: Proven experience with one major cloud platform (AWS Azure or GCP) is an added advantage</li></ul> Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: <ul><li>Flexible work </li><li>Healthcare including dental, vision, mental health, and well-being programs</li><li>Financial well-being programs such as 401(k) and Employee Share Ownership Plan</li><li>Paid time off and paid holidays </li><li>Paid parental leave</li><li>Family building benefits like adoption assistance, surrogacy, and cryopreservation</li><li>Social well-being benefits like subsidized back-up child/elder care and tutoring</li><li>Mentoring, coaching and learning programs</li><li>Employee Resource Groups </li><li>Disaster Relief</li></ul> Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual 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 accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Job Location: Atlanta, GA Job Description: The Data Scientist Generative AI Architect , you will apply expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address sophisticated business challenges. You will own the design and implementation of advanced generative AI solutions. Key Responsibilities: <ul> <li> Solution Design: Collaborate with clients and internal teams to understand business requirements, challenges, and opportunities. Lead the end-end tech stack assessment, architecture design for generative AI solutions (including system components, data pipelines, and deployment strategies), and integration of GenAI solution components into broader IT systems and corresponding architecture. </li> <li> Architecture Development: Develop high-level and detailed solution architectures for AI projects. Consider factors such as data integration, solution deployment, scalability, security, performance optimization, and ongoing sustainability. </li> <li> Technical Expertise: Serve as the domain expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains. Hands-on development and delivery of GenAI solutions. </li> <li> Model Selection: Evaluate and select appropriate generative AI components and algorithms based on project objectives, data characteristics, and performance requirements. Design custom models or adapt existing models to meet specific use cases. Guide the development of vector stores, prompt engineering, performance monitoring based on solution design requirements. </li> <li> Governance and Compliance: Define governance frameworks and guardrails for the ethical and responsible use of generative AI technologies. </li> <li> Ensure compliance with regulatory requirements and industry and company standards. </li> <li> Pre-Sales Support: Assist the sales team in pre-sales activities by providing technical expertise, participating in client meetings, and contributing to proposal development. Translate client requirements into feasible AI solutions. </li> </ul> Required Skills : <ul> <li> 10+ years professional work experience as a data scientist or on advanced analytics / statistics projects with 5+ years' experience in one of the following sectors: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities. </li> <li> Experienced in design, development, delivery of GenAI solutions with all necessary underlying components and integration within broader IT environments. </li> <li> Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field </li> <li> Proven experience in architecting and designing complex AI/ML systems, with a focus on generative AI technologies. Experience in Gen AI ,natural language processing (NLP) and text generation is a plus. </li> <li> Understanding of AI and GenAI domains, GenAI embeddings, and theoretical aspects. </li> <li> Work with RAG, vector stores, and semantic search. </li> <li> Experience with multimodal models. </li> <li> Strong proficiency in machine learning frameworks, libraries, and methodologies such as GPT, GANs, TensorFlow, PyTorch, or similar. Experience with deep learning architectures and techniques. </li> <li> Familiarity with software architecture principles, design patterns, and system integration. Familiarity with cloud computing platforms and hyperscaler technologies (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). </li> <li> Excellent problem-solving skills and analytical thinking. Ability to analyze complex problems, propose innovative solutions, and evaluate trade-offs. </li> <li> Strong communication and leadership skills. Ability to effectively communicate technical concepts to clients and non-technical stakeholders and lead cross-functional teams. </li> <li> Highly Preferred: 5+ years professional experience as and Data and AI thought leader in a large technology consulting firm. </li> </ul> Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:<ul> <li> Flexible work </li> <li> Healthcare including dental, vision, mental health, and well-being programs </li> <li> Financial well-being programs such as 401(k) and Employee Share Ownership Plan </li> <li> Paid time off and paid holidays </li> <li> Paid parental leave </li> <li> Family building benefits like adoption assistance, surrogacy, and cryopreservation </li> <li> Social well-being benefits like subsidized back-up child/elder care and tutoring </li> <li> Mentoring, coaching and learning programs </li> <li> Employee Resource Groups </li> <li> Disaster Relief </li> </ul> About Capgemini 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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Get The Future You Want | www.capgemini.com Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual 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 accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 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. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Candidates can be based out of Chicago | Atlanta | New York Metro As a Data Scientist in the Data Driven Transformation Team of Capgemini Invent you will help clients in the transform and improve their operations by leveraging insights from underlying business, commercial, process, or machine data. You will be advising our clients on solution approach, design, implementation, and roll-out of Data Science solutions. You are a key expert in building innovative solutions and can implement those. Responsibilities: You will help define and develop Data Science solutions, and advise on solution development, testing and roll-out. You will build components of technical solutions on your own, and in team with other engineers (e.g. ML Models, anomaly detection algorithms, etc.) You will help run energetic workshops with clients to identify pain-points, desires, as-is situation, solution path, solution design, etc. You will find and cultivate opportunities for improvement and grow the business within your space You will help promote program/ solution/ team success internally and at the client Requirements: Degree in Mathematics, STEM, or a related field. Strong ability to translate data into actionable insights and provide business recommendations. Experience with data science, data analytics, data visualization, and AI tools. Proven Data Science experience in preferably either in industries such as Consumer Products and Retail, MALS (Manufacturing, Automotive and Life Sciences), Energy & Utilities, or in the Consulting industry. Agile knowledge and project management familiarity Either Industrial, Customer, Commercial, or Operations Data Analytics Experience Experience in delivering AI / Analytics use cases Experience with some of these programming languages such as Python, SQL, JAVA, C++, C, MATLAB Excellent communication skills with the ability to convey complex insights in a clear and understandable manner. Proven ability to be successful in a matrixed organization, and to enlist support and commitment from peers in selling and delivering consulting solutions. Currently working in a Consulting firm or in industry Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief About Capgemini Invent We challenge the status quo to craft and build transformative human experiences that win hearts and move markets. Partnering with passionate leaders and visionary entrepreneurs, we apply creativity, strategy, design and data to re-invent businesses, drive growth and orchestrate customer centric transformation. Together we strive to shape a regenerative future that is both sustainable and inclusive for businesses, people and planet . DisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual 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 accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 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. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Description

We are seeking a seasoned Senior Data Scientist with 15+ years of experience in developing and deploying machine learning solutions. The ideal candidate should have hands-on expertise in MLOps (at least two end-to-end production deployments) solution architecture and experience with one major cloud platform (AWS Azure or GCP) is an added advantage. Strong skills in Python SQL PySpark and ML/ NLP are required.

Responsibilities

Architect and deploy scalable ML/AI solutions including MLOps pipelines for CI/CD model monitoring and governance.
Lead the design and development of Data/ NLP solutions for applications such as text summarization conversational AI and entity recognition.
Build and optimize data pipelines using PySpark and SQL for large-scale data processing.scalable ML development and deployment
Collaborate with stakeholders to align Data initiatives with business goals and mentor junior team members.
Skills     10-12 years of exp in DataML
Programming: Python (Pandas NumPy PyTorch TensorFlow) SQL.
MLOps: Experience with tools like MLflow
Kubeflow Docker Kubernetes and CI/CD pipelines.
Data Engineering: Proficient in PySpark and distributed data processing.
Cloud Platforms: Proven experience with one major cloud platform (AWS Azure or GCP) is an added advantage
Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:   Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual 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 accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Job Description We are seeking a seasoned Senior Data Scientist with 15+ years of experience in developing and deploying machine learning solutions. The ideal candidate should have hands-on expertise in MLOps (at least two end-to-end production deployments) solution architecture and experience with one major cloud platform (AWS Azure or GCP) is an added advantage. Strong skills in Python SQL PySpark and ML/ NLP are required. Responsibilities Architect and deploy scalable ML/AI solutions including MLOps pipelines for CI/CD model monitoring and governance.
Lead the design and development of Data/ NLP solutions for applications such as text summarization conversational AI and entity recognition.
Build and optimize data pipelines using PySpark and SQL for large-scale data processing.scalable ML development and deployment
Collaborate with stakeholders to align Data initiatives with business goals and mentor junior team members.
Skills 10-12 years of exp in DataML
Programming: Python (Pandas NumPy PyTorch TensorFlow) SQL.
MLOps: Experience with tools like MLflow
Kubeflow Docker Kubernetes and CI/CD pipelines.
Data Engineering: Proficient in PySpark and distributed data processing.
Cloud Platforms: Proven experience with one major cloud platform (AWS Azure or GCP) is an added advantage
Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual 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 accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Job Description We are seeking a seasoned Senior Data Scientist with 15+ years of experience in developing and deploying machine learning solutions. The ideal candidate should have hands-on expertise in MLOps (at least two end-to-end production deployments) solution architecture and experience with one major cloud platform (AWS Azure or GCP) is an added advantage. Strong skills in Python SQL PySpark and ML/ NLP are required. Responsibilities <ul><li>Architect and deploy scalable ML/AI solutions including MLOps pipelines for CI/CD model monitoring and governance. </li><li>Lead the design and development of Data/ NLP solutions for applications such as text summarization conversational AI and entity recognition. </li><li>Build and optimize data pipelines using PySpark and SQL for large-scale data processing.scalable ML development and deployment </li><li>Collaborate with stakeholders to align Data initiatives with business goals and mentor junior team members. </li></ul>Skills <ul><li>10-12 years of exp in DataML </li> <li>Programming: Python (Pandas NumPy PyTorch TensorFlow) SQL. </li><li>MLOps: Experience with tools like MLflow </li> <li>Kubeflow Docker Kubernetes and CI/CD pipelines. </li><li>Data Engineering: Proficient in PySpark and distributed data processing. </li><li>Cloud Platforms: Proven experience with one major cloud platform (AWS Azure or GCP) is an added advantage </li></ul>Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: <ul><li>Flexible work </li> <li>Healthcare including dental, vision, mental health, and well-being programs </li><li>Financial well-being programs such as 401(k) and Employee Share Ownership Plan </li><li>Paid time off and paid holidays </li> <li>Paid parental leave </li><li>Family building benefits like adoption assistance, surrogacy, and cryopreservation </li><li>Social well-being benefits like subsidized back-up child/elder care and tutoring </li><li>Mentoring, coaching and learning programs </li><li>Employee Resource Groups </li> <li>Disaster Relief </li></ul> Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual 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 accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Senior Data Scientist

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

We are seeking a seasoned Senior Data Scientist with 15+ years of experience in developing and deploying machine learning solutions. The ideal candidate should have hands-on expertise in MLOps (at least two end-to-end production deployments) solution architecture and experience with one major cloud platform (AWS Azure or GCP) is an added advantage. Strong skills in Python SQL PySpark and ML/ NLP are required.

Responsibilities

Architect and deploy scalable ML/AI solutions including MLOps pipelines for CI/CD model monitoring and governance.

Lead the design and development of Data/ NLP solutions for applications such as text summarization conversational AI and entity recognition.

Build and optimize data pipelines using PySpark and SQL for large-scale data processing.scalable ML development and deployment

Collaborate with stakeholders to align Data initiatives with business goals and mentor junior team members.

Skills

10-12 years of exp in DataML

Programming: Python (Pandas NumPy PyTorch TensorFlow) SQL.

MLOps: Experience with tools like MLflow

Kubeflow Docker Kubernetes and CI/CD pipelines.

Data Engineering: Proficient in PySpark and distributed data processing.

Cloud Platforms: Proven experience with one major cloud platform (AWS Azure or GCP) is an added advantage

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual 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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Ref. code: 131147

Posted on: Dec 3, 2024

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

Bridgewater, US

Brand: Capgemini

Professional Community: Software Engineering

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Senior Data Scientist Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by?a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations?unlock the value of technology and build a more sustainable, more inclusive world. **Client Location: Jersey City, NJ** **Job Description** + 8-10 years of experience Data Analysis: Conduct advanced statistical analysis to interpret and extract meaningful insights from large datasets. + Extract data into presentable reports charts and graphs. + Analyze and interpret data to find outliers understand root cause business impact correlations/discrepancies and propose changes/alternate solutions. + Discover patterns/root causes and generate insights to drive product enhancements **Machine Learning:** Develop implement and optimize machine learning models to support various business initiatives. Analyze and evaluate the quality of data used for model training and testing. Create and present proposals and results in an intuitive data-backed manner along with actionable insights and recommendations to drive business decisions **Project Leadership:** Lead data science projects from conception to deployment ensuring timely delivery and high-quality outcomes. **Collaboration:** Work closely with product managers engineers and other stakeholders to understand business needs and align data solutions accordingly. **Mentorship:** Mentor and guide junior data scientists and analysts fostering a collaborative and growth-oriented environment. **Data Infrastructure:** Contribute to the development and maintenance of data pipelines ensuring data accuracy and accessibility. **Reporting:** Prepare and present analytical reports and visualizations to communicate findings to both technical and non-technical audiences. **Qualifications:** **Qualifications Education:** Master's or Ph.D. degree in Data Science Computer Science Statistics or a related field. **Experience:** Minimum of 5 years of experience in data science or a related field. Expert in AWS AI/ML GenAI tools e.g. SageMaker Bedrock etc. **Technical Skills:** Proficiency in programming languages such as Python R and SQL. Experience with machine learning frameworks (e.g. TensorFlow Scikit-learn) and data visualization tools (e.g. Tableau Power BI). Experienced in Identity and Access management data protection data privacy standards Experienced in building model/tooling around continuous auditing **Analytical Skills:** Strong analytical and problem-solving skills with a keen attention to detail. **Communication Skills:** Excellent verbal and written communication skills with the ability to convey complex concepts to diverse audiences. **Team Player:** Ability to work effectively in a team environment and independently. **Preferred Qualifications:** + Experience in the industry relevant to the company's domain (e.g. finance healthcare e-commerce). + Familiarity with cloud computing platforms (e.g. AWS Google Cloud Azure). + Experience with big data technologies (e.g. Hadoop Spark). Published research or contributions to open-source projects. **Life at Capgemini** Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: + Flexible work + Healthcare including dental, vision, mental health, and well-being programs. + Financial well-being programs such as 401(k) and Employee Share Ownership Plan + Paid time off and paid holidays + Paid parental leave. + Family building benefits like adoption assistance, surrogacy, and cryopreservation + Social well-being benefits like subsidized back-up child/elder care and tutoring + Mentoring, coaching, and learning programs. + Employee Resource Groups. + Disaster Relief. **Disclaimer** Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual 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 accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion. 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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion. Ref. code: 84602 Posted on: Oct 8, 2024 Experience Level: Experienced Professionals Contract Type: Permanent Location: Bridgewater, US Brand: Capgemini Professional Community: Software Engineering Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

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