Data Science Manager For Fp&a

Leidos

Reston, VA, United States
Base: $107,900.00 - $195,050.00; bonus/equity: not...
Not specified
Data science team management
Develop and deploy ai solutions
Python or r programming
Leidos is seeking a Data Science Manager for its Financial Planning & Analysis (FP&A) team to lead a high-performing group focused on developing advanced analytical models and AI solutions. The role emphasizes collaboration, operational leadership, and the ability to communicate complex analytical findings to stakeholders to drive decision-making

Job Summary

  • Manage a high-performing team developing and deploying advanced analytical models and AI solutions across Finance & Business Operations.
  • Oversee and support the development of predictive models and data-driven insights for mission-critical applications, focusing on Decision Intelligence, Predictive Analysis & Operations Automation.
  • Communicate complex analytical findings clearly to both technical and non-technical stakeholders to drive decision-making and present leadership briefings on delivery status, capacity, risks, and outcomes.

Matching Summary

Match Score: 85

Leidos is seeking a Data Science Manager for its Financial Planning & Analysis (FP&A) team to lead a high-performing group focused on developing advanced analytical models and AI solutions. The role emphasizes collaboration, operational leadership, and the ability to communicate complex analytical findings to stakeholders to drive decision-making.

Salary

Base: $107,900.00 - $195,050.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Data Science team management
  • Develop and deploy AI solutions
  • Python or R programming
  • Common data science libraries
  • Financial data structures
  • Stakeholder communication

Nice-to-have

  • Drive innovation and transformation
  • Foster collaborative culture
  • Continuous learning and development
  • Organizational Change Management
  • Generative AI technologies

Key Requirements

  • Bachelor's degree in quantitative field
  • 5+ years relevant professional experience
  • Prior team or project management experience
  • Proficiency in Python or R
  • Experience with common data science libraries

Work Rights

Not specified

Tailored Resume

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