Responsibilities
- 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
Requirements
- 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
Benefits
- 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
Work Arrangement
Remote (Worldwide)
