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VP, Head of Data Science

Job in Rockville, Montgomery County, Maryland, 20849, USA
Listing for: Gravity Engineering Services Pvt Ltd.
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Position Purpose

As the Head of Data Science for Open Sky
, you will lead the strategy, development, and execution of advanced analytics and modeling solutions that power our credit card lending business. This is a unique opportunity to build credit risk and fraud models from the ground up as we launch a new unsecured card product. You will shape the future of our data science capabilities, ensure robust model governance, and leverage cutting-edge machine learning techniques to drive business growth and manage risk.

This is a hands‑on leadership role with significant influence and the opportunity to scale the team and its impact over time.

Position Responsibilities
  • Set a bold vision and roadmap for data science, aligning with business objectives and growth priorities
  • Lead the development of new credit risk and fraud models from scratch to support the launch of our unsecured card business
  • Manage model delivery efforts, ensuring results are delivered on time and with quality
  • Own the model lifecycle—from design and development to deployment, monitoring, and continuous improvement
  • Influence executive decision-making by presenting insights and recommendations in a clear, compelling manner
  • Oversee model suite, monitoring for performance and identifying opportunities for improvement
  • Ensure model governance and compliance, including documentation, validation, and adherence to regulatory standards
  • Lead and mentor a team of data scientists and analysts, providing technical guidance, career development, and performance feedback
  • Foster cross-functional collaboration with product, technology, and data teams to ensure seamless integration of data science solutions
  • Stay ahead of industry trends and emerging technologies to keep the team at the cutting edge
Minimum Education & Experience
  • Bachelor’s degree in a quantitative field (e.g. Statistics, Data Science, Applied Mathematics)
  • Advanced degree in a quantitative field (e.g. Statistics, Data Science, Applied Mathematics) preferred
  • 10+ years of experience in data science
    , with a strong track record of building and deploying predictive models in financial services
  • 2-5+ years of leadership experience building and scaling data science teams
  • Proven track record of delivering measurable business impact through data-driven solutions
  • Deep understanding of credit risk modeling, fraud detection, and regulatory requirements
  • Have an ownership mindset and exceptional results focus and project management skills
  • Relentless persistence in solving problems
  • Strong executive presence and communication skills: ability to clearly and effectively communicate complex analytical insights to both technical and non-technical audiences
Technical Knowledge And Skills
  • Advanced SQL
  • Advanced Python
  • Expertise building advanced statistical models
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