Data Science

Actively Reviewing the Applications

Viraaj HR Solutions Private Limited

On-site INR 8–40 LPA

Posted 2 months ago • Apply by May 4, 2026

Job Description

About The Opportunity

Industry: Staffing & HR Solutions / Talent Analytics. Sector: HR technology, workforce analytics and recruitment services delivering data-driven hiring, retention and workforce-planning solutions to enterprise clients. This on-site role (India) sits at the intersection of people analytics and product-driven ML, turning HR data into measurable business outcomes.

Role: Data Scientist (On-site, India)

Role & Responsibilities

Design, build and validate predictive models for HR use-cases (attrition, candidate sourcing, fit scoring, compensation analytics) through full lifecycle development.
Perform feature engineering, exploratory data analysis and statistical testing to extract actionable insights from HR, ATS and operational datasets.
Productionize models and analytics pipelines—package models, create APIs or dashboards, and work with engineering to deploy and monitor in production.
Develop dashboards and visualizations that translate complex model outputs into clear, data-driven recommendations for HR leaders and client stakeholders.
Optimize model performance and maintain model health: data validation, retraining strategies, bias/fairness checks and performance monitoring.
Collaborate closely with product, delivery and client teams to translate business problems into measurable ML/analytics solutions and drive adoption.

Skills & Qualifications

Must-Have

Bachelor's degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Engineering) or equivalent practical experience.
3+ years of hands-on data science experience building and deploying ML models in business environments.
Proficiency in Python and libraries for data science (Pandas, NumPy) and ML (Scikit-learn).
Strong SQL skills for data extraction, transformation and working with relational data at scale.
Solid foundation in statistics, experimental design and causal inference relevant to HR/people analytics.
Experience creating production-ready dashboards and visualizations (Tableau, Power BI or equivalent) and storytelling for non-technical stakeholders.

Preferred

Experience with cloud platforms and MLOps tools (AWS/GCP, Docker, CI/CD for ML).
Familiarity with big-data frameworks (Apache Spark) or experience handling large-scale HR datasets.
Prior exposure to HR/Recruitment systems (ATS, HRIS) or domain experience in people analytics.

Benefits & Culture Highlights

Collaborative, on-site data team with direct exposure to client engagements and product development.
Opportunity to lead high-impact HR analytics projects that influence hiring and retention strategies across enterprise customers.
Competitive compensation, learning budget and clear career progression into senior analytics or product-facing data roles.

Location: On-site, India. If you are a hands-on data scientist passionate about applying ML to workforce problems and enjoy cross-functional delivery, we'd love to hear from you—apply to join a fast-moving HR analytics team driving measurable business outcomes.

Skills: pandas,python,ml,data science,statistics,tableau,scikit-learn,sql