Junior Data Scientist

Capgemini; Atlanta (GA); Hybrid; USD 56,000 - 88,000; Full time

Benefits offered by this job

Flexible work

Healthcare including dental, vision, 4

Managed 401(k) retirement plans

Paid time off & holidays

Parental leave

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is hiring a Junior Data Scientist to build and deploy AI-driven solutions that support customer engagement, personalization, recommendation, decision optimization, and customer insights. This hybrid role in the U.S.

focuses on end-to-end work across predictive modeling, recommender systems, optimization, and GenAI, with an emphasis on responsible AI practices and practical deployment at scale. Develop and deploy AI solutions across use cases including customer engagement,

Qualifications

• Master’s or PhD in CS/DS/OR/Statistics/Applied Math.
• 5+ years in AI/ML, data science, or related fields.
• Experience with supervised/unsupervised ML and deep learning.
• Hands-on NLP with Transformers; GenAI and LLMs experience.
• Ability to formulate and solve optimization problems.
• Strong communication for business and technical audiences.

Responsibilities

• Develop and deploy AI solutions across use cases like engagement, personalization, recommendations, and insights.
• Collaborate with stakeholders to apply AI/ML tools to business problems.

Skills

Advanced AI/ML

NLP frameworks

GenAI / LLMs

Optimization problems

Model evaluation & deployment

Communication skills

Education

Master's or PhD in CS/DS/OR/Stats/Math

Tools

Python

SQL

MLOps

Scikit-learn

TensorFlow

PyTorch

Hugging Face

AWS SageMaker

Job description

Capgemini is hiring a Junior Data Scientist to help build and deploy AI-driven solutions that support customer engagement, personalization, recommendation, decision optimization, and customer insights. This hybrid role in the U.S. focuses on end-to-end work across predictive modeling, recommender systems, optimization, and GenAI, with an emphasis on responsible AI practices and practical deployment at scale.

What you’ll do

• Develop and deploy AI solutions across use cases including customer engagement, personalization, recommendation, decision optimization, and customer insights.
• Partner with business stakeholders while applying advanced AI/ML tools and platforms to solve a range of business problems.

Core requirements

• Education: Master’s or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline.
• Experience: 5 years of prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fields.
• Experience with unsupervised and supervised machine learning, including predictive modeling, propensity models, recommender systems, deep learning, and graph-based learning techniques.
• Hands-on work with advanced NLP frameworks (such as Transformers), plus experience with GenAI solutions and LLMs.
• Experience formulating and solving optimization problems.
• Knowledge of model evaluation, tuning, performance measurement, deployment, and solution scalability.
• Strong verbal and written communication skills, with the ability to present and communicate effectively to both business and technical teams.

Technologies and tools

• Python, SQL, MLOps, Scikit-learn, TensorFlow, PyTorch, and Hugging Face
• AWS Sagemaker
• GenAI solutions including RAG, agentic AI workflows, LLM evaluation frameworks, Transformers, LLMs, and LLM Finetuning
• Knowledge retrieval, Feature engineering, A/B testing, and graph-based learning techniques

Location and work setup

• Westlake TX / Smithfield RI / Boston MA / Merrimack NH / Durham NC (Day One Onsite - Hybrid)

Additional skills

• Experience applying ML/DL/econometric and foundation models for time series forecasting.
• Experience with knowledge graphs and graph-based learning approaches.
• Experience with constraint or mathematical programming, including optimization packages and solvers (for example, IBM ILOG CPLEX, Gurobi, Google OR-Tools).

Compensation and salary transparency

The base salary range for the tagged location is $56,186 to $87,556 per year. This role may be eligible for other compensation including variable compensation, bonus, or commission.

Benefits

• 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 including adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits such as subsidized back-up child/elder care and tutoring
• Mentoring, coaching, and learning programs
• Employee Resource Groups
• Disaster Relief
• Paid time off based on employee grade (A-F), including Vacation: 12-25 days depending on grade, plus Company paid holidays, Personal Days, and Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (for example, 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs