Staff Data Scientist | Fraud / Billing
Leads development and deployment of ML and GenAI systems to detect billing errors, audits, and fraud in healthcare payments. Requires 5+ years data science experience, team management, and a degree in CS or related field.
About the job
What you will do
- Build and ship classical ML and GenAI pipelines that surface, rank, and explain candidate billing error, audit, and fraud concepts across large-scale healthcare claims data
- Advance state-of-the-art research in anomaly detection, information retrieval, and weak supervision, turning research into robust production systems
- Accelerate concept generation and concept validation with SMEs by designing human-in-the-loop workflows that enable high-throughput review with strong precision, recall, and traceability
- Own end-to-end delivery from problem framing and data strategy to model development, evaluation, deployment, and monitoring, with a focus on reliability and customer outcomes
- Partner cross-functionally with Product, Data Engineering, Operations, SMEs, and business leaders to prioritize work, unblock execution, and unlock material financial value
- Help scale the team and platform as Machinify grows aggressively toward resale and IPO readiness
What you bring
- Degree in Computer Science, Engineering, or a related field
- 5+ years of professional data science experience
- Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment
- Strong knowledge of data privacy regulations and best practices in data security
- Exceptional team management abilities, with experience in building and leading high-performing teams
- Ability to think strategically and execute methodically
- Ability to drive change and inspire a distributed team
- Strong problem-solving skills and a data-driven mindset
- Ability to communicate effectively, collaborating with diverse groups to solve complex problems
- You embrace challenges with optimism and a balanced, and bring a business-oriented approach to product development
- You prioritize customer impact, ensuring your work significantly advances our product value
What We Offer
- Work from anywhere in the US! Machinify is digital-first.
- Top Medical/Dental/Vision offerings
- FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match
- Unlimited PTO
- Additional health and wellness benefits and perks
- Flexible and trusting environment where you’ll feel empowered to do your best work
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $180k-$230k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more.
Skills
Machine Learning, Generative AI, Anomaly Detection, Information Retrieval, Weak Supervision, Python, SQL, Healthcare Claims Data, Data Privacy, Data Security
Similar jobs
ML Engineering jobsDesign and productionize ML, deep learning, and LLM models for personalization, recommendations, and search systems. Requires 7+ years building production ML/AI with business impact and strong cross-functional collaboration skills.
Staff-level engineer responsible for building AI agents and automation, evaluating developer AI tools, and driving adoption across the engineering organization. Requires 8+ years of software engineering experience plus production experience with LLMs, agentic systems, and applied machine learning.
Develop and productize online mapping models for autonomous navigation using real-world sensor data. The role requires deep ML expertise, robotics or computer vision experience, strong Python and deep learning framework skills, and a staff-level ability to deliver practical solutions.
Build and operate ML infrastructure for autonomy teams, including training and deployment pipelines, model observability, inference serving, and compiler platforms across hardware targets. Requires a degree, 3+ years of relevant experience, Python proficiency, and distributed-systems expertise.
Builds and owns production multi-agent AI infrastructure, backend integrations, and workflow automation for marketing operations. Requires 8+ years of software engineering experience, strong Python and JavaScript/Node.js skills, production LLM experience, and deep Google Cloud expertise.