We are looking for an experienced Senior Data Scientist with 5+ years of experience in developing and deploying machine learning solutions. The ideal candidate should have strong expertise in Python, SQL, statistics, experimentation, and production-grade ML systems, along with the ability to translate business problems into data-driven solutions.

Key Responsibilities :

- Develop, deploy, and optimize machine learning models to solve complex business problems.

- Perform statistical analysis and design A/B tests and experiments to measure business impact.

- Build predictive models using techniques across machine learning, NLP, and forecasting.

- Develop and maintain ETL processes and data pipelines for ML and analytics use cases.

- Productionize ML models and ensure their reliability, scalability, and performance.

- Implement model monitoring and MLOps practices across the ML lifecycle.

- Work with cloud platforms to deploy and manage data science solutions.

- Analyze large and complex datasets to identify trends, patterns, and actionable insights.

- Collaborate with product, engineering, and business stakeholders to define requirements and deliver data-driven solutions.

- Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

Required Skills & Experience :

- 5+ years of experience in Data Science / Machine Learning.

- Strong proficiency in Python and SQL.

- Strong foundation in statistics, experimentation, and A/B testing.

- Hands-on experience with machine learning, NLP, and/or forecasting.

- Experience building ETL processes and data pipelines.

- Strong understanding of production ML, model monitoring, and MLOps.

- Experience working with cloud platforms for data and ML workloads.

- Strong problem-solving and analytical skills.

- Ability to translate business requirements into scalable data science solutions.

- Excellent stakeholder management and communication skills.