Job Summary :

We are looking for an experienced Lead Data Scientist to solve business problems using data, statistics, and machine learning. The ideal candidate should have strong hands-on expertise in Python, SQL, Machine Learning, Statistics, and Experimentation, with the ability to translate data into meaningful business decisions.

Key Responsibilities :

- Work with business and product teams to understand problems and define measurable goals.

- Build and validate machine learning models for forecasting, classification, recommendations, and NLP.

- Design and analyze A/B tests and experiments to measure business impact.

- Apply statistical analysis and hypothesis testing to support data-driven decision-making.

- Develop data pipelines and perform data preparation and feature engineering.

- Collaborate with Data Engineers and ML Engineers to move models into production.

- Monitor model performance, data quality, and analytical results.

- Present insights and recommendations to technical and business stakeholders.

- Review technical work and mentor junior Data Scientists.

Required Skills & Experience :

- 5+ years of experience in Data Science - Applied Data Science.

- Strong hands-on experience with Python and SQL.

- Strong understanding of Statistics, Probability, and Hypothesis Testing.

- Hands-on experience with Machine Learning and model development.

- Experience with A/B Testing, Experimentation, or Causal Inference.

- Experience working with Data Pipelines and ETL.

- Understanding of production ML and model monitoring.

- Strong analytical, problem-solving, and communication skills.