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Advanced Analytics & Decision Intelligence

  • Washington, DC, United States

$100,000 to $160,000 USD / year

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Job details

Pay
$100,000 to $160,000 USD / year
Experience
3+ years experience in analytics, modeling, data exploitation, or decision science
Posting language
English
Posted

Original job description

Benefits:

  • 401(k) matching
  • Bonus based on performance
  • Dental insurance
  • Health insurance
  • Opportunity for advancement
  • Paid time off
  • Training & development
  • Vision insurance

About the Role Mission One is seeking an Intelligence Data Scientist / ORSA / Advanced Analytics Specialist to support mission intelligence and decision-making through advanced analytics and quantitative modeling. This role is ideal for professionals who can move from raw data to actionable insight - building forecasting tools, risk scoring models, anomaly detection pipelines, and operational dashboards that scale intelligence impact. You will work alongside all-source analysts, technical intelligence teams, and mission leaders to translate analytical outputs into real-world mission decisions.

Customer view: “Who can quantify the mission, forecast outcomes, and scale analytic insight?”

Key Responsibilities

  • Build and deploy predictive models and analytic pipelines supporting intelligence and operational decision-making
  • Develop forecasting tools, risk scoring algorithms, anomaly detection, and optimization models
  • Automate analytic workflows to improve speed, consistency, and mission scalability
  • Translate data outputs into actionable intelligence, operational recommendations, and decision-support briefs
  • Design dashboards, KPIs, and performance indicators for mission leaders and stakeholders
  • Work with both structured and unstructured data across varied sources
  • Collaborate with mission teams to integrate analytics into intelligence workflows and reporting cycles

Role Profiles

We welcome candidates aligned with one or more of the following:

  • Data Scientist
  • Operations Research / Systems Analyst (ORSA)
  • Decision Scientist
  • Statistician / Mathematician
  • Computer Scientist (analytics-oriented)
  • Advanced Analytics Specialist (National Security)
  • Decision Intelligence Analyst

Required Qualifications

  • Active security clearance
  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Operations Research, Engineering, or related field

• 3+ years experience in analytics, modeling, data exploitation, or decision science

  • Ability to work with both structured and unstructured data
  • Strong communication skills: ability to translate quantitative findings into mission impact
  • Demonstrated ability to operate in fast-paced, mission-driven environments

Preferred Qualifications

  • Experience supporting national security missions (DoD, DHS, IC, federal law enforcement, or defense contracting)
  • Proficiency with Python and/or R, plus strong SQL
  • Experience with Jupyter notebooks, cloud platforms, and data pipeline tooling
  • Familiarity with platforms/tools such as:
  • Palantir, Databricks, Power BI, Tableau
  • cloud stacks (AWS/Azure/GCP)
  • workflow orchestration tools (Airflow, Prefect, etc.)
  • Experience with:
  • graph/network analytics
  • pattern-of-life analytics
  • predictive threat modeling
  • NLP or text analytics on unstructured sources

Typical Deliverables

  • Forecasting models and predictive analytic outputs
  • Risk scoring algorithms and prioritization tools
  • Analytic dashboards and decision support KPIs
  • Machine learning outputs integrated into intelligence workflows
  • Decision-support briefs and leadership-ready summaries
More about this job

Skills

  • Google Analytics
  • Decision making
  • Forecasting
  • Unstructured data
  • Reporting
  • Research
  • Computer science
  • Statistics
  • Communication skills
  • Law enforcement
  • Python
  • R
  • SQL
  • Jupyter
  • Databricks
  • Microsoft Power BI
  • Tableau
  • AWS
  • Microsoft Azure
  • Google Cloud
  • Workflow
  • Apache Airflow
  • Natural language processing
  • Prioritization
  • Machine learning
  • Leadership

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