Data Scientist

Capgemini; Atlanta (GA); Hybrid; USD 80,000 - 106,000; Full time

Benefits offered by this job

Flexible work

Healthcare including vision/dental

401(k) and ESOP

Paid time off and holidays

Mentoring and learning programs

Job summary

Capgemini seeks an experienced Data Scientist to advance predictive models, personalization, and recommender systems. You will work with business teams to deploy AI-driven solutions, including GenAI workflows and knowledge retrieval, across multiple use cases.

The role requires expertise in ML lifecycle, NLP with Transformers, and strong Python/SQL skills, with 7+ years of relevant experience and an advanced degree.

Qualifications

• Advanced degrees in a relevant field; strong AI/ML fundamentals.
• 7+ years in AI/ML, data science, or related areas.
• Experience with NLP frameworks, GenAI, and LLMs.
• Proven ability to deliver AI-powered business outcomes.

Responsibilities

• Develop and deploy AI-driven solutions across customer engagement and personalization use cases.
• Lead modeling, evaluation, and governance across ML lifecycle.
• Collaborate with business stakeholders to translate needs into scalable AI systems.
• Prototype and evaluate GenAI solutions including RAG and agentic workflows.

Skills

Predictive modeling

Recommender systems

Ranking models

Prescriptive optimization

Python

SQL

MLOps

Transformers

LLMs

Education

Master's or Ph.D. in CS/DS/OR/Statistics/Math

Tools

TensorFlow

PyTorch

Hugging Face

AWS SageMaker

Gurobi / OR-Tools

Job description

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 Location -Westlake TX / Smithfield RI / Boston MA / Merrimack NH / Durham NC (Day One Onsite - Hybrid)About The RoleWe are looking for a Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems.It offers an exciting environment for multidisciplinary AI research and development with access to a diverse set of data sources.We seek applicants from all areas of computer science, machine learning, data mining, optimization and related technical fields with a passion and demonstrated ability for delivering AI-powered solutions that drive meaningful customer and business outcomes.The Value You Deliver As part of a high-caliber team of researchers and practitioners, you will work closely with business stakeholders and leverage advanced AI/ML tools and platforms to solve a variety of business problems.You will be responsible for developing and deploying AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization and customer insights.Key SkillsPython, SQL, MLOps, and modern AI/ML development frameworks, AI/ML lifecycle, GenAI solutions including RAG, agentic AI workflows, LLM evaluation frameworksRequired SkillsMaster's or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline7 years of prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fieldsExperience in unsupervised and supervised machine learning, predictive modeling, propensity models, recommender systems, deep learning, graph-based learning techniquesExperience working with advanced NLP frameworks (Transformers, etc.), GenAI solutions, and LLMsExperience in formulating and solving optimization problemsKnowledge of model evaluation, tuning, performance measurement, deployment and solution scalabilityStrong verbal/written communication and presentation skills, including the ability to effectively communicate with both business and technical teamsMust Have SkillsStrong hands-on experience building predictive machine learning models, recommender systems, ranking models, and prescriptive optimization modelsStrong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, etc.)Expertise across the AI/ML lifecycle, including experimentation, A/B testing, feature engineering, model development, deployment, monitoring, measurement, and governanceExperience evaluating, deploying, and governing GenAI solutions, including RAG, knowledge retrieval, agentic AI workflows, LLM Finetuning, LLM evaluation frameworksNice to Have skillsExperience in applying ML, DL, Econometric and Foundation Models for time series forecastingExperience working with knowledge graph, graph-based learning approachesExperience in constraint/mathematical programming, optimization packages and solvers (IBM ILOG CPLEX, Gurobi, Google OR-Tools, etc.)Life At CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefDisclaimerCapgemini 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-lawSalary TransparencyCapgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.The base compensation range for this role in the posted location is:$80420 to $106050Capgemini 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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant 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.DisclaimersCapgemini 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, 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 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.Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawCapgemini 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.