Senior Applied AI Engineer – Data Science & Analytics

Bitwise • Columbia, MD

3d • Onsite

About The Position

We're looking for a Senior Applied AI Engineer with a strong data science and analytics background to join a fast-moving AI team delivering mission-critical capabilities to analysts and operators who need to make better, faster decisions. This is not a back-office research role — you'll work directly with mission customers, dig into real operational problems, and rapidly prototype AI solutions that create tangible impact. You'll combine data science, machine learning, and software engineering to transform large, complex datasets into actionable mission insights. The team moves fast, values customer collaboration, and favors practical AI solutions over lengthy development cycles. If you're energized by the idea of seeing your work matter in a high-stakes environment, you'll fit right in here.

Requirements

• 12 years of relevant experience, or 16 years in lieu of a B.S. in a technical discipline
• Experience developing production software using Python
• Experience with data science, machine learning, or statistical analysis
• Hands-on experience with libraries such as Pandas, NumPy, Scikit-learn, or similar
• Experience building AI or machine learning applications
• Experience working with SQL, Elasticsearch, or other large-scale data platforms
• Strong analytical and problem-solving skills
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Experience collaborating directly with customers to solve analytical problems
• Active TS//SCI clearance with polygraph

Nice To Haves

• Experience with LLMs, prompt engineering, or retrieval-augmented generation (RAG)
• Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis
• Experience with data visualization tools and dashboard development
• Experience deploying machine learning models into production environments
• Experience supporting classified mission environments

Responsibilities

• Design and develop AI-enabled analytics applications using Python and modern software engineering practices
• Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets
• Develop pattern-of-life, anomaly detection, clustering, and predictive analytics capabilities
• Build retrieval-augmented generation (RAG) and LLM-powered workflows that enhance analytical processes
• Collaborate directly with mission customers to understand their datasets and develop AI-driven analytical solutions
• Integrate structured and unstructured data into scalable AI applications
• Evaluate emerging AI and machine learning techniques for mission applicability
• Mentor junior engineers and contribute to technical direction across the team

Benefits

• Pick your PTO — between 3 and 5 weeks of PTO with a corresponding adjustment to your pay
• All 11 federal holidays, paid
• Up to 2 snow days, paid
• 4x match on the first 6% of 401(k) contributions (up to 24% company match)
• 100% employer-paid medical, dental, vision, life, and disability insurances
• $5,250 annual education assistance for training, certifications, tuition, and student loan repayments
• Spot bonuses for obtained certifications, customer recognition, and other achievements

What This Job Offers

• Job Type: Full-time
• Career Level: Senior