Senior Data Scientist Hybrid/ Remote

Filled
February 23, 2026
Apply Now

Job Description

🎯 What Makes This Role Unique

Unlike standard data science jobs focused on dashboards or customer analytics, this position emphasizes:

  • Discrete-event simulation
  • Mathematical optimization (IBM CPLEX)
  • Sensor & time-series analytics
  • Mission-critical operational decision support

This combination is rare and highly valuable in aerospace, logistics, and defense industries.

🧠 Core Responsibilities

1️⃣ Simulation Modeling

  • Build logistics and maintenance simulations using tools like SimPy.
  • Model operational systems to evaluate:
    • Bottlenecks
    • Resource utilization
    • What-if scenarios

2️⃣ Mathematical Optimization

  • Formulate optimization problems such as:
    • Scheduling
    • Resource allocation
    • Planning
  • Solve using IBM CPLEX (experience with Gurobi/other solvers transferable).

3️⃣ Sensor Data & Predictive Analytics

  • Analyze high-frequency sensor data from military platforms.
  • Perform:
    • Time-series analysis
    • Anomaly detection
    • Feature engineering
  • Combine sensor insights with simulation outputs.

4️⃣ Engineering & Production

  • Write production-quality Python code.
  • Collaborate with engineers to deploy models.
  • Contribute to internal frameworks and tools.

🛠️ Required Skills (Real Interpretation)

Technical

  • Python (pandas, NumPy, scikit-learn)
  • Simulation modeling (SimPy or similar)
  • Optimization modeling (CPLEX / Gurobi / OR-Tools)
  • Time-series / sensor analytics
  • Strong mathematics & modeling mindset

Experience

  • 5+ years in Data Science / Operations Research
  • Applied problem-solving in complex environments

⭐ Bonus Skills That Add Major Value

  • Logistics or maintenance planning domain knowledge
  • Docker / Spark / distributed computing
  • Digital twins or predictive maintenance systems
  • Defense / aviation / regulated environment experience

🔐 Important Eligibility Constraint

This role requires:

U.S. citizenship and ability to access classified information

So it is not accessible for most international candidates unless they hold U.S. citizenship.

📈 Career Value

Professionals with this background often move into:

  • Principal Data Scientist
  • Operations Research Lead
  • AI for Defense / Aerospace
  • Digital Twin Architect
  • Optimization Engineer
  • Technical Director roles

These skills are extremely high-demand in:

  • Aerospace
  • Autonomous systems
  • Supply chain optimization
  • Robotics
  • Smart infrastructure

💰 Seniority Estimate

Based on requirements:

  • Mid-Senior to Senior level
  • 5–10 years experience typical
  • Highly technical individual contributor role