Senior Analyst - Data Science

• Designs and implements high-quality, reproducible models with lasting business impact.
• Champions analytical rigor, documentation excellence, and solution scalability.

If you're passionate about using data to unlock workforce potential and influence enterprise-wide decisions, this is your opportunity to make a measurable difference.

What you'll do

Data science & experimentation
• Frame ambiguous workforce problems into testable hypotheses; choose fit-for-purpose methods and clearly communicate assumptions and limitations.
• Apply statistical techniques like hypothesis testing, regression, causal inference, survival/time-series, and ensemble methods to drive actionable recommendations.
• Use ML/NLP across structured and unstructured HR data (e.g., text from surveys or talent profiles); design A/B or quasi-experiments where appropriate.

Build & operate
• Develop production-ready pipelines and models in Python/R with SQL; publish decision-ready visuals in Power BI (or equivalent).
• Establish reproducibility (versioning, environments, modular code) and monitoring (drift, performance, fairness) with clear runbooks and documentation.
• Partner with data engineering on ETL/ELT and analytics engineering best practices to ensure scalability and reliability.

Governance & responsible AI
• Handle HR data with care: follow Eaton's Data Protection standards for PII/SPII, privacy-by-design, access controls, and model transparency.

Stakeholder partnership & impact
• Co-create problem statements, success metrics, and acceptance criteria with HR and business leaders; communicate insights for non-technical audiences.
• Connect insights into decisions and outcomes (e.g., quality of hire, retention, productivity, org health); quantify impact and document learning.
• Lead medium-to-large analytics projects with minimal oversight; coach peers on methods and code quality; contribute re-usable components and standards.

Qualifications:

• Bachelor's degree in Statistics, Data Science, Engineering, Computer Science, or related field or equivalent practical experience; master's preferred.
• 6-8 years of applied data science/advanced analytics, ideally in People/Workforce Analytics or adjacent domains with sensitive data.

Skills:

• Proficiency in Python (pandas, scikit-learn/statsmodels), R, and dashboards in Power BI (or similar).
• Strong grounding in statistical modeling, causal inference, experimental design, and time-series.
• Demonstrated ability to translate complex analyses into clear recommendations for senior stakeholders.
• Excellent communication and storytelling.

Client-provided location(s): Pune, India

Job ID: Eaton-51382Pune

Employment Type: OTHER

Posted: 2025-09-26T18:37:25