About The Opportunity
Opportunity in the HR Technology & Talent Solutions sector serving enterprise clients across India. We deliver data-driven talent insights, workforce analytics, and automated recruitment solutionshelping businesses hire smarter and faster. This is an on-site Data Scientist role based in India, focused on building production-grade ML models and analytics capabilities for HR and talent platforms.
Role & Responsibilities
- Design, develop, and validate end-to-end machine learning models for talent scoring, candidate matching, churn prediction, and workforce analytics.
- Perform feature engineering, data cleaning, and exploratory analysis on large HR datasets to extract actionable signals.
- Build, test, and deploy scalable production pipelines (training validation deployment) with monitoring for model performance and drift.
- Collaborate with product, engineering, and analytics teams to translate business problems into measurable ML solutions and KPIs.
- Implement robust evaluation frameworks including A/B testing, cross-validation, and statistical significance testing to validate models.
- Document models, maintain reproducible code, and follow engineering best practices (version control, CI/CD, observability).
Skills & Qualifications
Must-Have
- Proficient in Python for data science workflows and production code.
- Strong SQL skills for complex data extraction and transformation.
- Hands-on experience with Scikit-learn and TensorFlow (model building and evaluation).
- Experience with large-scale data processing using Apache Spark or PySpark.
- Practical expertise in feature engineering, model evaluation, and A/B testing methodologies.
- Experience deploying models to production (Docker/REST APIs or cloud ML services) and using Git for version control.
Preferred
- Familiarity with ML lifecycle tools such as MLflow or Kubeflow.
- Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
- Ability to create dashboards and visualizations using Tableau or Power BI.
Benefits & Culture Highlights
- On-site role with cross-functional collaboration and direct impact on product and hiring outcomes.
- Growth-focused environment with opportunities to own end-to-end ML solutions and influence roadmap.
- Competitive compensation, learning budget, and a culture that values data-driven decision making.
Location: India (On-site). If you are an experienced Data Scientist who enjoys turning HR data into high-impact products and thrives in an execution-focused environment, we encourage you to apply.
Skills: git,model deployment,python,scikit-learn,sql,apache spark,tensorflow,feature engineering,tableau,data scientist,ml,docker
