Job Description

Your Models Get Deployed. Actually.

In most data science shops, your brilliant ML algorithm becomes a proof-of-concept that dies in a Jupyter notebook.

With our client? 90% deployment rate. Your models go into production. Your insights drive decisions. Your work matters.

After decades serving the Intelligence Community, they've cracked the code on what separates data science theater from data science impact.

Why This Actually Matters

Well, you didn't come this far to build models that just collect dust, did you? You're probably ready for work where:

• Your feature engineering directly supports IC analysts
• Your algorithms get integrated into operational workflows
• Your visualizations inform senior-level decision makers
• Your experiments generate data that drives real-world action

This isn't data science kindergarten. This is the Intelligence Community's hardest problems - where your models mean the difference between security and risk, waste and efficiency, confusion and clarity.

What You'll Solve

Machine Learning & Algorithm Development

• Develop ML, data mining, statistical, and graph-based algorithms for complex IC datasets
• Prototype multiple approaches and select final models based on rigorous performance metrics
• Build experiments to generate synthetic data when training sets are unavailable
• Implement production-ready algorithms within analyst workflows

Data-Driven Intelligence

• Partner with SMEs to translate manual analysis into automated analytics
• Generate reports and visualizations that summarize massive datasets
• Provide data-driven insights to IC customers across the NSG
• Develop feature vectors optimized for machine learning pipelines

Technical Leadership (Level 3/Principal)

• Guide teams in analytic development processes
• Evaluate analytics using cross-validation, ROC curves, confusion matrices
• Scale solutions to handle extremely large datasets
• Collaborate with software engineers on production deployments

All roles support Defense and Intelligence customers. On-site at Fort Meade.

What You Need

Clearance: TS/SCI with Full Scope Polygraph (required)

Education & Experience:

Data Scientist Level 2:

• Bachelor's + Master's in quantitative discipline (Statistics, Mathematics, Operations Research, Engineering, Computer Science)
• 5 years analyzing datasets and developing analytics
• 5 years programming with R, Python, SAS, or MATLAB
• OR 2 additional years of experience substitutes for Master's
• OR PhD substitutes for 3 years of experience

Data Scientist Level 3:

• Bachelor's + Master's (or higher) in quantitative discipline
• 10 years analyzing datasets and developing analytics
• 10 years programming with R, Python, SAS, or MATLAB
• PhD substitutes for 4 years of experience

Principal Data Scientist:

• Bachelor's + Master's (or higher) in quantitative discipline
• 15 years analyzing datasets and developing analytics
• 10 years programming with R, Python, SAS, or MATLAB
• PhD substitutes for 4 years of experience

Technical Skills That Matter Here

Core Competencies:

• Python, R, SQL (you're fluent in all three)
• Machine learning algorithms & model tuning
• Statistical analysis & mathematical modeling
• Feature engineering & data preprocessing
• Model validation techniques (cross-validation, ROC, confusion matrices)
• Data visualization & storytelling

Geospatial Intelligence Focus (Select Roles)

• ESRI ArcGIS, geospatial software applications
• Timeseries modeling & forecasting
• Large Language Models (LLM) development
• Sagemaker, Databricks, Hue
• Collections performance analysis
• Multi-source GEOINT strategies

Leadership Skills (Senior Roles)

• Team leadership & analytic delegation
• Requirements gathering with customers & SMEs
• Algorithm evaluation & recommendation
• Production system transition guidance
• Performance monitoring & quality control

Why People Leave the Big Boys... For Us

💰 Compensation That Recognizes Expertise

• Competitive salary packages exceeding $200K for experienced candidates
• Annual merit increases + performance bonuses
• ESOP profit-sharing (actual ownership in what you build)
• 401(k) with 3% match, immediate vesting
• Up to $10K referral bonuses

🎯 Impact Over PowerPoint

• 90% deployment rate vs. 20% industry average
• Your models go into operational systems, not proof-of-concept purgatory
• 250+ projects delivered over decades of consistent growth
• Direct collaboration with IC customers and SMEs

🧠 Continuous Learning Culture

• Weekly company-wide Tech Talks (learn from peers)
• $5,250/year tuition reimbursement
• LinkedIn Learning, Statistics.com access
• Dedicated professional development time every week
• Innovation Lab for exploring emerging ML techniques
• Exposure to state-of-the-art algorithms and frameworks

⚖️ Work-Life Balance (Not a Myth)

• Reasonable hours—no burnout culture
• Extremely flexible PTO (including your birthday)
• Sabbaticals every 5 years (2 weeks + $12K stipend at 10 years)
• $100/month fitness reimbursement
• Remote options where mission allows
• Employee Assistance Program support

🤝 Values-Driven Culture

You Might Be Our Next Data Scientist If...

✓ You question your model's assumptions until you find the truth

✓ You care as much about deployment as you do about accuracy scores

✓ You believe the best data scientists explain complex results simply

✓ You'd rather build one robust pipeline than ten fragile notebooks

✓ You get excited when subject matter experts challenge your approach

✓ You want to see your work actually used by Intelligence Community analysts

The Reality Check

• This isn't remote. You'll be on-site at Fort Meade supporting critical IC missions.
• Full Scope Poly is mandatory. No exceptions, no sponsorships in progress.
• We hire for careers, not contracts. More than 30 years of stability proves it.
• Your work is classified. You won't be publishing papers or posting about it online.

But if you're cleared, curious, and tired of building models that never escape your laptop? We should talk.

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