Jobs · Engineering · Virginia

Data Scientist

Ignite Digital · Chesapeake, VA · 3 days ago
Engineering$120k/yrFull-time

About the role

Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver. We combine mission experience, domain knowledge and technology expertise with the things partners can only know by being there every day. When agencies need a combination of tech and touch, Ignite Digital creates outcome-driving partnerships and stands with agencies to accomplish mission objectives. Ignite Digital accelerates capability to the speed of every mission, deploying intelligent solutions and AI integration for faster, better transformation. Ignite delivers partnership beyond presentations to inspire the confidence to lead in a digital-forward world. Ignite Digital. The Edge from Within.

Ignite Digital is seeking an experienced Data Scientist to support a U.S. Navy customer in the Norfolk, VA area. This role is ideal for a highly analytical, detail-oriented professional who thrives in data-driven environments and can translate complex analytical insights into actionable outcomes for both technical and non-technical stakeholders. The Data Scientist will leverage advanced statistical methods, machine learning techniques, and data engineering practices to solve complex mission and business challenges within a Naval program environment.

Benefits

  • Competitive pay and benefits, including PTO
  • Education stipends and referral bonuses
  • Compelling work with the U.S. federal government
  • Strong emphasis on volunteer and community engagement
  • Opportunity to shape the future of our industry
  • Supportive colleagues and management who invest in your growth

Responsibilities

  • Data Acquisition & Preparation
    • Gather data from multiple sources, including databases, APIs, and web scraping activities.
    • Clean, transform, and prepare datasets for analysis.
    • Develop and maintain automated data pipelines.
    • Implement data quality checks, validation, and anomaly detection procedures.

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