Lead Data Scientist(PHD)

Key Responsibilities

• Lead and mentor a high-performing data pod composed of data engineers, data analysts, and BI developers.

• Design, implement, and maintain ETL pipelines and data workflows to support real-time and batch processing.

• Architect and optimize data warehouses for scale, performance, and security.

• Perform advanced data analysis and modeling to extract insights and support business decisions.

• Lead data science initiatives including predictive modeling, NLP, and statistical analysis.

• Manage and tune relational and non-relational databases (SQL, NoSQL) for availability and performance.

• Develop Power BI dashboards and reports for stakeholders across departments.

• Ensure data quality, integrity, and compliance with data governance and security standards.

• Work with cross-functional teams (product, marketing, ops) to turn data into strategy.

Qualifications

Required:

• PhD in Data Science, Computer Science, Engineering, Mathematics, or related field.

• 7+ years of hands-on experience across data engineering, data science, analysis, and database administration.

• Strong experience with ETL tools (e.g., Airflow, Talend, SSIS) and data warehouses (e.g., Snowflake, Redshift, BigQuery).

• Proficient in SQL, Python, and Power BI.

• Familiarity with modern cloud data platforms (AWS/GCP/Azure).

• Strong understanding of data modeling, data governance, and MLOps practices.

• Exceptional ability to translate business needs into scalable data solutions.