AI Data Analyst: Insights, AI/ML Evaluation & Dashboards

Capgemini

Atlanta (GA)

On-site

USD 70,000 - 140,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental, vision coverage
401(k) retirement plans
Paid time off

Job summary

Capgemini in Atlanta is seeking an experienced Data Scientist to analyze data, build AI/ML solutions, and translate business goals into actionable analytics across teams. The role collaborates with data engineers and AI researchers to develop dashboards, evaluate models, and drive data-driven decisions that enhance performance and stakeholder value.

Candidates should have strong SQL, Python, BI tools, cloud data warehouses, and solid communication skills to present findings to both technical and

Qualifications

  • 5+ years in data analysis, BI, or related analytics roles.
  • Strong SQL and data querying/transformation skills.
  • Experience with Python/R for data analysis.
  • Experience with BI/visualization tools and dashboards.
  • Familiarity with evaluating AI/ML model outputs.

Responsibilities

  • Analyze structured and unstructured data to identify trends and insights.
  • Support evaluation of AI/ML and generative AI model outputs for accuracy and bias.
  • Design dashboards and reports to track AI system performance and KPIs.
  • Partner with data scientists and AI engineers to define evaluation metrics.
  • Write and optimize SQL queries from various sources.
  • Perform EDA to support model development and features.
  • Label, curate, and validate datasets for training AI models.
  • Translate business requirements into analytical frameworks and present findings.
  • Identify data quality issues and work with engineering teams to resolve them.
  • Stay current on AI/ML trends relevant to data analysis.

Skills

SQL proficiency
Python (pandas, NumPy)
BI/Visualization tools
Communication skills
Cloud data warehouses

Tools

BigQuery
Snowflake
Redshift
Tableau
Power BI
Looker

Job description

Capgemini in Atlanta is seeking an experienced Data Scientist to analyze data, build AI/ML solutions, and translate business goals into actionable analytics across teams. The role collaborates with data engineers and AI researchers to develop dashboards, evaluate models, and drive data-driven decisions that enhance performance and stakeholder value.

Candidates should have strong SQL, Python, BI tools, cloud data warehouses, and solid communication skills to present findings to both technical and

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