Senior Analyst - Data Science

6 - 10 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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Job Type

Full Time

Job Description

In this role as a Senior Analyst (Data Science) in the Workforce Insights Team, you will lead high-impact analytics initiatives that drive smarter decisions across HR and business functions. You will thrive at the intersection of statistical modeling, causal inference, and problem-solving, architecting analytical solutions from framing challenges to designing scalable models for actionable insights. **Key Responsibilities:** - Translate complex datasets into clear narratives for stakeholders. - Design and implement reproducible models with lasting business impact. - Champion analytical rigor, documentation excellence, and solution scalability. **Qualifications Required:** - Bachelors degree in Statistics, Data Science, Engineering, Computer Science, or related field; masters preferred. - 6-8 years of experience in applied data science or advanced analytics, preferably in People/Workforce Analytics. If you are passionate about unlocking workforce potential using data and influencing enterprise-wide decisions, this role offers you the opportunity to make a measurable difference. In this role, you will: - Frame ambiguous workforce problems into testable hypotheses and communicate assumptions and limitations clearly. - Apply statistical techniques like hypothesis testing, regression, causal inference, and ensemble methods for actionable recommendations. - Develop production-ready pipelines and models in Python/R with SQL, and publish decision-ready visuals in Power BI. - Handle HR data with care, following data protection standards for PII/SPII, privacy-by-design, access controls, and model transparency. - Partner with data engineering on best practices to ensure scalability and reliability. You will also: - Co-create problem statements and success metrics with HR and business leaders. - Lead medium to large analytics projects with minimal oversight. - Coach peers on methods and code quality, and contribute reusable components and standards. If you possess proficiency in Python, R, statistical modeling, experimental design, and have excellent communication skills, this role as a Senior Analyst (Data Science) could be a great fit for you.,

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