Data Scientist

Capgemini•Atlanta, GA

6d•$63,140 - $118,144

About The Position

Capgemini is seeking an experienced AI Data Analyst to analyze data, generate insights, and support the development and evaluation of AI/ML and generative AI solutions. The role connects traditional data analysis with emerging AI capabilities, supporting data-driven decisions and assessment of AI system performance and impact. The position is located in Atlanta, Georgia. The role analyzes structured and unstructured data, evaluates AI/ML and generative AI outputs, builds dashboards and reports, and works with data scientists and AI engineers on model evaluation metrics and monitoring. It also involves querying and transforming data, exploratory analysis, dataset curation and validation, communicating findings to stakeholders, and resolving data quality issues with engineering teams. The base compensation range is $63,140 to $118,144. Compensation may also include variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a benefits package to regular, full-time employees; available benefits depend on local policy and eligibility and may include paid time off, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs.

Requirements

At least 5 years of experience in data analysis, business intelligence, or related analytics roles.
Strong proficiency in SQL and data querying and transformation.
Experience with Python (pandas, NumPy) or R for data analysis.
Experience with BI or visualization tools such as Tableau, Power BI, Looker, or similar.
Understanding of AI/ML concepts and exposure to evaluating model outputs or working alongside ML teams.
Strong statistical analysis skills.
Excellent communication skills, including the ability to translate data insights for technical and non-technical stakeholders.
Experience working with large datasets in cloud data warehouses such as BigQuery, Snowflake, or Redshift.

Nice To Haves

Experience evaluating generative AI/LLM outputs, including prompt quality, hallucination detection, or response scoring.
Familiarity with GCP data tools such as BigQuery, Looker, and Vertex AI.
Experience with A/B testing and experimentation frameworks.
Background in data governance or data quality frameworks.
Exposure to Python-based ML libraries such as scikit-learn.
Good to have: GCP, Vertex AI, data modeling, ETL/ELT, data quality, data visualization, prompt engineering, RAG, cloud storage, and Dataflow.

Responsibilities

Analyze structured and unstructured data to identify trends, patterns, and actionable insights.
Support evaluation of AI/ML and generative AI model outputs, including accuracy, quality, bias, and relevance.
Design and build dashboards and reports to track AI system performance and business KPIs.
Partner with data scientists and AI engineers to define metrics for model evaluation and monitoring.
Write and optimize SQL queries to extract and transform data from various sources.
Perform exploratory data analysis to support model development and feature identification.
Assist in labeling, curating, and validating datasets used for training and fine-tuning AI models.
Translate business requirements into analytical frameworks and present findings to stakeholders.
Identify data quality issues and work with engineering teams to resolve them.
Stay current on AI/ML trends relevant to data analysis and reporting.

Benefits

Paid time off, including 12–25 vacation days depending on employee grade, company-paid holidays, personal days, and sick leave, subject to policy.
Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
Life and disability insurance.
Employee assistance programs.
Other benefits as provided by local policy and eligibility.

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