Data Scientist

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

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)

Preferred Qualifications

Experience evaluating generative AI/LLM outputs (prompt quality, hallucination detection, response scoring)

Familiarity with GCP data tools (BigQuery, Looker, Vertex AI)

Experience with A/B testing and experimentation frameworks

Background in data governance or data quality frameworks

Exposure to Python-based ML libraries (scikit-learn) a plus

Good to have

GCP, Vertex AI, Data Modeling, ETL/ELT, Data Quality, Data Visualization, Prompt Engineering, RAG, Cloud Storage, Dataflow’

The base compensation range for this role in the posted location is $70,000 to $140,000

Capgemini 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 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

Important 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.

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., 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.