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iWorks Corporation

Lead Data Scientist / DTAM / (Hybrid) [Contingent]

Data & Analytics
3 weeks ago

Are you ready to transform complex data into actionable intelligence that drives mission-critical decisions for the federal government? At iWorks Corporation, we are looking for a dynamic Lead Data Scientist to join our Data & Analytics team and help shape the future of our digital solutions. This is an exceptional opportunity for a talented professional to step into a leadership role where you will leverage advanced analytics, machine learning, and innovative modeling techniques to solve real-world challenges. Whether you are working remotely or collaborating with our team at our DMV-area hub, you will be at the forefront of a company that prides itself on continuous process improvement and cutting-edge technology.

As a Lead Data Scientist at iWorks, you will not just be crunching numbers; you will be the architect of insights that support our prestigious federal clients. We are seeking a creative problem-solver who is eager to push the boundaries of Data, Analytics, and cloud-based strategy. In this hybrid, contingent role, you will work within an agile environment alongside industry experts, gaining invaluable exposure to high-impact projects that make a tangible difference in personnel security and vetting solutions. If you are passionate about data storytelling and want to accelerate your career within a collaborative, growth-oriented culture, we invite you to bring your expertise to iWorks Corporation and help us build the next generation of government-focused data solutions.

Requirements

  • Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
  • Experience with statistical programming languages like R or Python.
  • Ability to derive actionable insights from large, complex datasets.
  • Strong mathematical background and analytical thinking.
  • Experience with data warehousing and ETL processes is beneficial.
  • Degree in Statistics, Mathematics, Economics, or a related field.

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