Director of Data Science, Geospatial Analytics

Company Overview: Join a Fortune 50 financial services firm at the forefront of innovation, leveraging cutting-edge technologies and data-driven strategies to optimize decision-making and drive business growth. As a Director of Data Science with a strong focus on Geo-Spatial data, you will lead a high-performing team of data scientists, drive strategic initiatives, and contribute to the success of the organization.

Key Responsibilities:

1. Leadership and Strategy:

   • Develop and communicate a comprehensive data science strategy aligned with the company’s overall business objectives, with a specialized focus on Geo-Spatial data analytics.
   • Lead and mentor a team of data scientists, providing guidance on technical expertise, project management, and professional development.

2. Geo-Spatial Data Analysis and Modeling:

   • Utilize advanced analytics techniques to extract insights and patterns from Geo-Spatial data, providing valuable business intelligence and supporting decision-making.
   • Build and deploy complex models and algorithms to solve geo-spatial challenges, integrating data sources such as GPS, satellite imagery, and location-based services.

3. Technology and Tools:

   • Leverage a diverse set of technologies and tools, including Python, R, SQL, arcGIS, PySpark, and PyTorch, to develop robust and scalable data science solutions.
   • Stay updated with emerging technologies in Geo-Spatial data analysis and continuously enhance the team’s technical capabilities.

4. Collaboration and Stakeholder Engagement:

   • Collaborate with cross-functional teams and stakeholders to identify business requirements and ensure data science initiatives align with organizational needs and objectives.
   • Translate complex technical findings into actionable insights and recommendations for both technical and non-technical stakeholders.

5. Project Management and Execution:

   • Oversee end-to-end project lifecycle, from project initiation to deployment, ensuring timelines and deliverables are met within defined budgets and scope.
   • Manage resources effectively to optimize project execution, prioritize tasks, and allocate work to achieve maximum efficiency and productivity.

Qualifications:

• Education: Master’s or Ph.D. in a relevant field such as Data Science, Computer Science, Statistics, Geography, or a related discipline.
• Experience: 5 years of experience focused on Geo-Spatial data analysis and modeling.
• Technical Skills:
  • Proficiency in Python, R, SQL, arcGIS, PySpark, and PyTorch.
  • Strong knowledge of Geo-Spatial data analysis, GIS principles, and mapping technologies.
• Leadership and Management:
  • Proven experience in leading and managing a team of data scientists.
  • Excellent communication and interpersonal skills, with the ability to effectively collaborate and influence stakeholders at all levels.
• Strategic Thinking:
  • Ability to develop and execute data science strategies aligned with organizational goals and industry trends.
  • Strong business acumen and strategic thinking to drive the use of data science for competitive advantage.

We Offer:

• Competitive compensation package and performance-based incentives.
• Comprehensive benefits, including healthcare, retirement plans, and employee wellness programs.
• Opportunities for career growth and advancement within a globally recognized Fortune 50 financial services firm.
• A collaborative and innovative work environment that fosters creativity and encourages continuous learning and development.

Salary range: $150,000-$230,000 

Join our team and contribute to revolutionizing data science in the financial services industry with a focus on Geo-Spatial analytics!

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