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Job Description
What youll do:
Are you ready to shape the future of workforce strategy through data As a Senior Analyst (Data Science) in our Workforce Insights Team, youll lead high-impact, end-to-end analytics initiatives that drive smarter, more strategic decisions across HR and business functions.
This role is ideal for someone who thrives at the intersection of advanced statistical modeling, causal inference, and real-world problem solving. Youll architect robust analytical solutions, from framing complex workforce challenges to designing scalable models and experiments that deliver actionable insights.
Were Looking For a Data Science Professional Who
- Translates complex datasets into clear, compelling narratives for stakeholders.
- Designs and implements high-quality, reproducible models with lasting business impact.
- Champions analytical rigor, documentation excellence, and solution scalability.
What youll 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.
- 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.
- Handle HR data with care: follow Eatons Data Protection standards for PII/SPII, privacy?by?design, access controls, and model transparency.
- 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.
Looking to get Placed? Try our Placement Guarantee Plan
- Lead medium?to?large analytics projects with minimal oversight; coach peers on methods and code quality; contribute re?usable components and standards.
- Bachelors degree in Statistics, Data Science, Engineering, Computer Science, or related field or equivalent practical experience; masters preferred.
- 6-8 years of applied data science/advanced analytics, ideally in People/Workforce Analytics or adjacent domains with sensitive data.
- 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.
Skills
Advanced AnalyticsPythonData ScienceEtlStatistical ModelingSenior AnalystAnalystAnalyticsAiMlSqlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
In 1911, Joseph O. Eaton, brother-in-law Henning O. Taube and Viggo V. Torbensen, incorporated the Torbensen Gear and Axle Co. in Bloomfield, New Jersey. With financial backing from Torbensen's mother, the company was set to manufacture Torbensen's patented internal-gear truck axle. In 1914, the company moved to Cleveland, Ohio, to be closer to its core business, the automotive industry.
The Torbensen Axle Company incorporated in Ohio in 1916, succeeding the New Jersey corporation. A year later, Republic Motor Truck Company, Torbensen's largest customer bought out the company. But Eaton and Torbensen were not content and bowed out of Republic to form the Eaton Axle Company in 1919. A year later, in 1920, Eaton Axle Company merged with Standard Parts. Standard Parts went in receivership later the same year and was later liquidated. In 1923, Eaton bought the Torbensen Axle Co. back from Republic and changed the name to the Eaton Axle and Spring Company.
Eaton officers believed the quickest way to grow the business was through acquisitions and began buying companies in the automotive industry. By 1932, the diversified company changed its name to Eaton Manufacturing Company. In 1937, Eaton became international by opening a manufacturing plant in Canada. In 1958 Eaton Corporation acquired Fuller Manufacturing. The company name changed once again in 1965 to Eaton Yale & Towne Inc. after the acquisition of Yale & Towne Manufacturing Co. in 1963. Stockholders approved the change to the company's current name in 1971. In 1978, Eaton Corporation acquired Samuel Moore & Company, Kenway Systems, and Cutler-Hammer.
Important dates & deadlines?
Application Deadline
01 Apr 26, 03:42 PM IST
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Senior Analyst - Data Science
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