Staff Data Scientist | ML
Machinify · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Lead end-to-end data science initiatives.
- Develop and productionize ML/LLM models.
- Utilize SQL for complex data exploration.
- Influence cross-functional teams and set direction.
- Drive measurable financial improvements in healthcare.
About the role
About Machinify
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 85 health plans, including many of the top 20, and representing more than 270 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. Machinify builds machine learning models for some of the largest health plans in the country to identify nearly $1B in erroneous healthcare payments. Our customers receive tens of millions of claims each year, many of which are billed with mistakes or fraud. Our production models detect and stop those errors on a daily basis, resulting in measurable healthcare savings that significantly outperform industry standards. Machinify has already had a huge impact as a small company, and we are growing quickly! We are looking for a Staff Data Scientist | ML for our "Pay" team (claims payments product) to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes.What You'll Do
- Solve real business problems with data: Own end-to-end data science work, from problem framing and data exploration to modeling, validation, and production impact.
- Lead high-impact initiatives: Drive complex efforts such as vendor leakage detection and prevention, delivering measurable revenue or cost improvements.
- Innovate on methods and approaches: Go beyond standard analyses by developing new metrics, models, or workflows when existing approaches fall short.
- Build and productionize models: Design, build, and support production ML or LLM-powered solutions in collaboration with engineering and product partners.
- Work deeply with data: Use SQL fluently to explore large datasets, build reliable data assets, and validate results.
- Influence cross-functionally: Partner with Product, Engineering, Finance, and Operations to align on goals, tradeoffs, and execution plans.
- Set technical direction (especially at L7): Raise the bar for data science quality, scalability, and impact across the organization through mentorship, design reviews, and technical leadership.
What You'll Bring
- Proven track record of hands-on data science impact on real-world problems, not just research or dashboards.
- Strong proficiency in SQL, with experience working directly on complex, large-scale datasets.
- Experience building, shipping, or supporting production ML systems, preferably some exposure to LLM-based products or workflows.
- Ability to independently scope ambiguous problems, identify the right data and methods, and drive work to completion.
- Strong communication skills, with the ability to explain complex analyses and models to non-technical stakeholders.
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
Compensation and Benefits
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 our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.Equal Employment Opportunity
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/Key skills/competency
- Staff Data Scientist
- Machine Learning
- SQL
- Production ML Systems
- LLM
- Data Exploration
- Model Validation
- Cross-functional Influence
- Technical Leadership
- Problem Framing
Skills & topics
- Data Scientist
- Machine Learning
- SQL
- LLM
- Healthcare Intelligence
- Data Analysis
- Model Productionization
- Technical Leadership
- Remote
- US Remote
How to get hired
- Tailor your resume: Highlight your hands-on data science impact, production ML experience, and SQL proficiency.
- Showcase problem-solving: Detail instances where you scoped ambiguous problems and drove them to completion.
- Prepare for technical interviews: Be ready to discuss your ML/LLM projects and SQL query optimization.
- Demonstrate communication skills: Practice explaining complex analyses to non-technical audiences.
- Understand Machinify's mission: Align your application with their goal of reducing healthcare costs through AI.
Technical preparation
Master SQL for complex data manipulation.,Practice building and deploying ML models.,Study LLM applications in data analysis.,Prepare to discuss production ML systems.
Behavioral questions
Describe a complex ambiguous problem solved.,Explain a model to a non-technical person.,Share an experience of cross-functional influence.,How do you mentor junior data scientists?
Frequently asked questions
- What is the typical career path for a Staff Data Scientist at Machinify?
- As a Staff Data Scientist at Machinify, you'll have opportunities to grow into senior technical leadership roles, potentially managing small teams or spearheading major data science initiatives. Your career path will be shaped by your impact on critical projects, your ability to mentor others, and your contributions to the technical direction of the company.
- How does Machinify use ML and LLMs in its healthcare intelligence platform?
- Machinify leverages ML and LLMs to analyze vast amounts of healthcare claims data, identifying and preventing erroneous payments. This technology helps health plans save significant amounts of money by detecting fraud, waste, and abuse, thereby driving down overall healthcare costs.
- What level of SQL proficiency is expected for the Staff Data Scientist role?
- Strong SQL proficiency is essential. You will use SQL fluently to explore large, complex datasets, build reliable data assets, and validate model results. Expect to work directly with large-scale datasets on a daily basis.
- Can I work remotely as a Staff Data Scientist at Machinify?
- Yes, Machinify is a digital-first company and offers a 'work from anywhere in the US' policy for this role, providing significant flexibility.
- What kind of impact can a Staff Data Scientist expect to make at Machinify?
- You will have a direct impact by solving real business problems, leading high-impact initiatives like vendor leakage detection, and contributing to measurable revenue or cost improvements for major health plans.
- What are the primary responsibilities of the 'Pay' team that the Staff Data Scientist will join?
- The 'Pay' team focuses on claims payments and aims to advance Machinify's ML models to detect and prevent erroneous healthcare payments. Your work will directly contribute to significant healthcare savings for their clients.
- How does Machinify approach mentorship and technical leadership for its data scientists?
- Machinify values setting a high bar for data science quality and impact. As a Staff Data Scientist, you are expected to contribute through mentorship, design reviews, and technical leadership, helping to raise the overall standard within the organization.
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