Company Name: Machinify

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/y4mebu4k7bgidq3i

Job Description: Posted 4d agoStaff Data Scientist | Content Gen@ MachinifyView All JobsWebsitePalo Alto or United StatesRemoteFull TimeResponsibilities:Build pipelines, Advance research, Own deliveryRequirements Summary:10+ years data science experience, 5+ years in leadership, degree in Computer Science/Engineering, strong data privacy knowledge, proven leadership, strategic thinker, effective communicator.
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.Staff Data Scientist | Content Generation TeamWe are seeking a Staff Data Scientist. This role will be responsible for leading the build and deployment of classical ML and GenAI systems that generate and validate billing error, audit, and fraud concepts in healthcare payments. You will partner with SMEs and cross-functional stakeholders to deliver production-grade capabilities with clear customer and financial impact.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 dataAdvance state-of-the-art research in anomaly detection, information retrieval, and weak supervision, turning research into robust production systemsAccelerate concept generation and concept validation with SMEs by designing human-in-the-loop workflows that enable high-throughput review with strong precision, recall, and traceabilityOwn end-to-end delivery from problem framing and data strategy to model development, evaluation, deployment, and monitoring, with a focus on reliability and customer outcomesPartner cross-functionally with Product, Data Engineering, Operations, SMEs, and business leaders to prioritize work, unblock execution, and unlock material financial valueHelp scale the team and platform as Machinify grows aggressively toward resale and IPO readinessWhat you bring:Degree in Computer Science, Engineering, or a related field10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. Proven track record of managing data teams and delivering complex, high-impact products from concept to deploymentStrong knowledge of data privacy regulations and best practices in data securityExceptional team management abilities, with experience in building and leading high-performing teamsAbility to think strategically and execute methodicallyAbility to drive change and inspire a distributed teamStrong problem-solving skills and a data-driven mindsetAbility to communicate effectively, collaborating with diverse groups to solve complex problemsYou embrace challenges with optimism and a balanced, and bring a business-oriented approach to product developmentYou prioritize customer impact, ensuring your work significantly advances our product valueWhat we offer:A flexible and trusting environment where you'll feel empowered to do your best work.Work from anywhere in the US! Our team is distributed and most of us work from home.Hardworking and supportive colleagues, and a leadership team that understands the importance of recruiting and retaining top talent.Incredible medical, vision, and dental benefits for employees & their families.Competitive salary and equity, 401(k) sponsorship.Equal Employment Opportunity at MachinifyMachinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/