Associate Data Scientist

Capgemini • Nashville, TN

4d

About The Position

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 hands-on Data Scientist with a strong foundation in software engineering and cloud-based analytics, preferably on Google Cloud Platform (GCP). This role is ideal for an early-career data science professional who enjoys building, deploying, and scaling data-driven and GenAI solutions in real-world environments.
You will work closely with engineers, data engineers, and business stakeholders to develop predictive and generative AI models, integrate them into applications, and deploy them on cloud platforms to deliver measurable business value.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or equivalent experience.
• 3–5 years of professional experience in Data Science, Analytics, or Applied Machine Learning.
• Strong proficiency in Python and working knowledge of SQL.
• Experience with pandas, NumPy, scikit-learn.
• Exposure to Generative AI and LLM-based solutions.
• Understanding of REST APIs and application integration.
• Experience with GCP or other cloud platforms.

Nice To Haves

• Exposure to Vertex AI, LangChain, or similar frameworks.
• Familiarity with Retrieval-Augmented Generation (RAG).
• Basic understanding of MLOps concepts.
• Experience with Graph databases such as Neo4j.
• Strong analytical and problem-solving skills.
• Willingness to learn and grow in GenAI and cloud technologies.
• Ability to collaborate across teams.
• Clear communication skills.

Responsibilities

• Develop predictive models such as regression, classification, clustering, and time-series analysis.
• Assist in building and integrating Generative AI solutions (e.g., LLM-based Q&A, summarization, and content generation).
• Perform data exploration, feature engineering, and model evaluation using Python-based libraries.
• Apply basic model tuning and performance optimization under guidance from senior team members.
• Write production-ready Python code following software engineering best practices.
• Build and consume REST APIs to integrate models into applications.
• Work with authentication, JSON/REST payloads, error handling, logging, and debugging.
• Develop and deploy data science solutions on Google Cloud Platform (GCP).
• Work with services such as BigQuery, Cloud Storage, Cloud Run, Vertex AI, or Compute Engine.
• Collaborate with data engineering teams on cloud-based data pipelines.
• Assist with deploying models into development and production environments.
• Support monitoring and troubleshooting of deployed models and pipelines.
• Follow established CI/CD and MLOps practices.
• Work with cross-functional teams to translate business problems into analytical solutions.
• Participate in internal training, demos, and reusable asset development.
• Communicate analytical findings clearly to technical and non-technical stakeholders.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level