Remote AI Data Scientist (Secret Cleared) — Govt Analytics

Koniag Government Services

United States

Remote

USD 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Medical, dental, and vision insurance
401(k) retirement plan
Paid time off
Paid parental leave
Life and disability insurance
Flexible spending accounts
Commuter benefits
Tuition reimbursement

Job summary

Koniag Emerging Technologies (KET) is seeking an experienced AI Data Scientist with a Secret clearance to support government customers. The role is remote, with a preference for candidates in the DC metro area.

The candidate will design usage-tracking systems, build predictive models, and deliver executive dashboards across 15+ web applications, translating insights for leadership and stakeholders. Responsibilities include data pipelines, collaboration with IT and business teams, and staying

Qualifications

  • Requires 5+ years of data science/analytics experience.
  • Experience tracking usage statistics across multiple software/web apps.
  • Experience introducing AI/ML tools in an analytics environment.
  • Experience creating executive-level reports and presentations.

Responsibilities

  • Design systems to track usage statistics across 15+ enterprise web apps.
  • Analyze usage data to identify trends, anomalies, and optimization opportunities.
  • Research and implement AI/ML tools to enhance data analysis processes.
  • Develop predictive models and analytics frameworks for usage and user behavior.
  • Create executive dashboards and reports for leadership.

Skills

Python
R
SQL
Data Visualization
Executive reporting
Secret clearance

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics

Tools

Power BI
Tableau

Job description

Koniag Emerging Technologies (KET) is seeking an experienced AI Data Scientist with a Secret clearance to support government customers. The role is remote, with a preference for candidates in the DC metro area.

The candidate will design usage-tracking systems, build predictive models, and deliver executive dashboards across 15+ web applications, translating insights for leadership and stakeholders. Responsibilities include data pipelines, collaboration with IT and business teams, and staying

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