- Lead and manage a team of data scientists and analysts, providing guidance on analytics, modeling, and best practices.

- Design, develop, and deploy machine learning models using Python, Pandas, Numpy, and Scikit-Learn.

- Perform geospatial and advanced analytics to support business decision-making.

- Build scalable data pipelines and workflows using Databricks and Azure.

- Develop dashboards and reports in Power BI to communicate insights to stakeholders.

- Collaborate with cross-functional teams to define analytics requirements and KPIs.

- Ensure adherence to data governance, quality, and security standards.

- Mentor team members, drive technical innovation, and foster a data-driven culture.

- Stay updated on emerging trends and technologies in data science and analytics.

Technical Skills Required :

- Proficiency in Python and libraries such as Pandas, Numpy, Scikit-Learn.

- Hands-on experience with Databricks and Azure cloud services.

- Expertise in Power BI for visualization and reporting.

- Experience in geospatial analysis and related tools/libraries.

- Strong understanding of machine learning algorithms, predictive modeling, and statistical analysis.

- Knowledge of data pipelines, ETL processes, and cloud-based analytics solutions.

- Familiarity with big data frameworks, Spark, or similar platforms is a plus.

Experience :

- Minimum 5+ years of experience in data science, analytics, or related fields.

- Proven experience in leading data science teams or projects.

- Demonstrated ability to deliver predictive analytics and actionable business insights.

- Experience with cloud-based data platforms and enterprise-scale analytics solutions.

Education :

- Bachelors or Masters degree in Computer Science, Data Science,or related field.

- Advanced certifications in Data Science, Machine Learning, or Cloud Analytics are a plus