Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Scientist role.
Rezi rewrites your resume against Capgemini's job description. Free.
Tailor your resume to this Data Scientist role.
Rezi rewrites your resume against Capgemini's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist posting at Capgemini — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist posting at Capgemini — free, in seconds.
About the Role
We are seeking an experienced AI Data Analyst to analyze data, generate insights, and support the development and evaluation of AI/ML and generative AI solutions. This role bridges traditional data analysis with emerging AI capabilities, helping teams make data-driven decisions and assess the performance and impact of AI systems.
Responsibilities
- Analyze structured and unstructured data to identify trends, patterns, and actionable insights.
- Support evaluation of AI/ML and generative AI model outputs (accuracy, quality, bias, 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 (EDA) 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.
Requirements
- 5+ years of experience in data analysis, business intelligence, or related analytics roles.
- Strong proficiency in SQL and data querying/transformation.
- Experience with Python (pandas, NumPy) or R for data analysis.
- Experience with BI/visualization tools (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 - able to translate data insights for both technical and non-technical stakeholders.
- Experience working with large datasets in cloud data warehouses (BigQuery, Snowflake, Redshift).
Skills
- AI/ML
- Generative AI
- Data Analysis
- SQL
- Python
- R
- Tableau
- Power BI
- Looker
- Statistical Analysis
- Communication
- BigQuery
- Snowflake
- Redshift
- Generative AI/LLM evaluation
- Prompt quality
- Hallucination detection
- Response scoring
- GCP data tools
- Vertex AI
- A/B testing
- Experimentation frameworks
- Data governance
- Data quality frameworks
- scikit-learn
- Data Modeling
- ETL/ELT
- Prompt Engineering
- RAG
- Cloud Storage
- Dataflow
Location
- Atlanta GA
Work Type
- Full-time
Experience Level
- 5+ years
Salary/Compensations
- $70,000 to $140,000
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
About the Company
- 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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Equal Opportunity
- 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.