Senior Applied AI Engineer - Data Science & AnalyticsAn active TS//SCI clearance with polygraph is required for this role About this RoleWe'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.
In this role, you will:
- 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
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
Preferred Skills- 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
Benefits at Bitwise- Top salaries because we're top performers
- Pick your PTO - Everyone values time and money differently, so we give you the flexibility to choose between 3 and 5 weeks of PTO with a corresponding adjustment to your pay. Your choice, your balance.
- All 11 federal holidays, paid!
- Up to 2 snow days, paid!
- We'll quadruple (4x!) the first 6% you contribute to your 401(k), giving you up to a 24% company match. Contributing less than 6%? Unclaimed matches come right back to you as extra income, giving you a guaranteed 24% that goes to your retirement, to your paycheck, or both. C'mon now!
- 100% employer-paid medical, dental, vision, life, and disability insurances. That's a lot. Already covered on health insurance? No problem - we'll trade you this benefit for a boost to your salary instead.
- $5,250 annual education assistance for training, certifications, tuition, and even student loan repayments.
- Spot bonuses for obtained certifications, customer recognition, and just about anything else that makes us go "Hot damn!". We hope to say that many times about you.
Salary Range$282,000 - $332,000
This range includes our flex income and depends upon your annual work hours.
Salary is determined on an individual basis following the interview process and considering various factors such as years of experience, skills, education, and certifications.
What to Expect After ApplyingYou'll get an email from us right away to acknowledge your application. After that, we'll:
- Send over additional company materials for you to review
- Schedule a video call to talk about you, our company, and your place in it
- Craft a delightful offer package for you and record a video walkthrough
- Work closely with you through onboarding. We'll keep it joyful and easy.
