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Tier-1 brand and Bangalore metro increase competition, but seniority and niche people-analytics focus reduce candidate density.
Core data science skills transfer across industries, but HR people-analytics domain knowledge raises fit sensitivity.
Explicit 10+ years requirement, mandatory data science experience, and required Python/SQL increase shortlisting strictness.
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Lead advanced statistical analyses and develop predictive models focused on talent acquisition, employee behavior, performance, and retention to support HR decision-making.
Design, deliver, and continuously improve reporting solutions and dashboards for HR and business partners to enhance data-driven decisions.
Maintain and enhance analytics frameworks, build tools and audits to improve data integrity and reporting efficiency.
10+ years total work experience including 4+ years in data science delivering analytics solutions to clients.
3+ years experience in Python or R for statistical analysis and predictive modeling.
3+ years experience with SQL for relational databases and data warehousing.
Bachelor's or master's degree in Data Science, Statistics, Math, Computer Science, or related field.
Experienced in applying statistical and machine learning techniques (regression, classification, clustering, dimensionality reduction) in business or HR contexts.
Skilled in translating complex data into clear communication and actionable insights for HR and strategic stakeholders.
Comfortable navigating ambiguous problems and enhancing analytics frameworks in a collaborative, team-driven environment.