Primary Title: Data Scientist
Location: India (On-site)
Role & Responsibilities
- Design, develop, and validate end-to-end predictive models and ML solutions for business use cases—classification, regression, and time-series forecasting.
- Perform feature engineering, exploratory data analysis, and statistical inference to translate business problems into data-driven solutions.
- Build scalable data pipelines and model training workflows using Python and Spark; ensure reproducibility and versioning.
- Deploy and monitor models in production; implement CI/CD and observability for model performance and data drift.
- Collaborate with product managers, engineers, and stakeholders to define success metrics and integrate models into applications and dashboards.
- Document model design, assumptions, and validation results; present insights and technical recommendations to non-technical audiences.
Skills & Qualifications
Must-Have
- Python
- SQL
- scikit-learn
- Pandas
- NumPy
- TensorFlow
- PyTorch
- Apache Spark
Preferred
- MLflow
- Docker
- AWS SageMaker
Qualifications
- Proven track record building and shipping ML models into production for commercial use cases.
- Strong statistical foundation and experience with A/B testing, model validation, and performance metrics.
- Comfort working on-site with cross-functional teams; excellent ability to translate business needs into technical solutions.
Benefits & Culture Highlights
- Hands-on ownership of end-to-end ML projects with visible business impact.
- Collaborative, delivery-focused environment with opportunities for technical growth and mentorship.
- Exposure to diverse industry datasets and enterprise-grade production systems.
We encourage motivated Data Scientists who enjoy solving ambiguous problems and operationalizing ML at scale to apply.
Skills: python,tensorflow,sql,pytorch,docker,apache spark,pandas,numpy,scikit-learn
