Advanced Analytics & Decision Intelligence

MISSION ONE, LLC; Virginia (MN); On-site; USD 85,000 - 115,000; Full time

Benefits offered by this job

401(k) matching

Bonus based on performance

Health insurance

Paid time off

Training & development

Job summary

A national security analytics firm is seeking an Intelligence Data Scientist to enhance decision-making through advanced analytics. The ideal candidate will develop predictive models and dashboards while working with both structured and unstructured data. Requirements include a Bachelor's degree in a related field and at least 3 years of experience in analytics. Preferred skills include proficiency with Python and SQL, along with familiarity with platforms such as Palantir and AWS. This role offers opportunities for growth and advancement within the organization.

Qualifications

• Active security clearance required.
• 3+ years experience in analytics or decision science.
• Ability to manage structured and unstructured data.

Responsibilities

• Build predictive models for operational decision-making.
• Design dashboards and performance indicators.
• Automate analytic workflows for efficiency.

Skills

Data analysis

Communication

Programming (Python, R)

SQL proficiency

Education

Bachelor's in Data Science, Computer Science, Mathematics, or related field

Tools

Palantir

Power BI

Tableau

AWS

Jupyter Notebooks

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