Data Scientist

We’re hiring an experienced Data Scientist to deliver end-to-end advanced analytics and machine learning solutions. You’ll own problem framing, data exploration, feature engineering, modelling, and measurement of business impact—working closely with Product, Engineering, and stakeholders to operationalize insights and models responsibly.

Key responsibilities Problem framing & stakeholder partnership 

- Translate business goals into explicit analytical questions, hypotheses, and success metrics. 
- Partner with Product/Business/Tech teams to define scope, constraints, and delivery plans. 
- Communicate findings and recommendations clearly to technical and non- technical audiences. Data analysis, experimentation & insights 
- Perform deep-dive analysis using Python/SQL: data quality checks, segmentation, root-cause analysis, and KPI design. 
- Design and analyse experiments (A/B testing, uplift measurement) and observational studies where appropriate. 
- Build dashboards/metrics definitions in collaboration with BI teams to track outcomes. Machine learning model development 
- Develop, validate, and tune ML models (classification, regression, clustering, forecasting, anomaly detection). 




- Perform feature engineering and selection; manage leakage, class imbalance, and bias considerations. 
- Produce explainable outputs and model documentation suitable for governance and review. Model operationalisation & lifecycle support

INTERNAL


- Deliver production-ready code artefacts (reusable pipelines/notebooks, unit tests, documentation). 
- Define monitoring requirements (performance, drift, stability) and support deployment with MLOps/Engineering. 
- Run post-deployment analysis to ensure models deliver expected value and improve iteratively. Responsible AI, governance & quality 
- Apply privacy-by-design, data minimisation, and secure handling of sensitive data. 
- Support model risk/governance processes: validation packs, assumptions, limitations, and audit-ready documentation. 
- Ensure reproducibility (version control, controlled datasets, experiment tracking).

Required experience &

skills  8–10 years in Data Science / Advanced Analytics delivering measurable business outcomes. 

- Strong Python (pandas, numpy, scikit-learn) and SQL; solid foundations in statistics and probability.

📌 Architect (Pune)
🏢 Virtusa
📍 Pune