Sr. Data Scientist | Modeling

The Rawlings Group; EE. UU.; A distancia; USD 180.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote US work

Health benefits

Tuition reimbursement

401(k) match

Unlimited PTO

Wellness perks

Flexible work environment

Descripción de la vacante

Machinify is a leading healthcare intelligence company that builds ML models to audit claims and identify errors across major health plans in the US. We are seeking a Sr. Data Scientist to advance our modeling framework, scale data pipelines, and deliver measurable business impact for our clients.

You will own model development, feature engineering, and rigorous evaluation, contributing to scalable solutions that reduce waste and improve financial outcomes in healthcare.

Formación

• Experience building ML models using modern approaches (neural nets or tree ensembles).
• Strong SQL skills and ability to handle large-scale data.
• Proficiency in Python or R for data analysis and modeling.

Responsabilidades

• Master Claim Audits: analyze data that drives audit decisions and outcomes.
• Model Advancement: curate labeled data, engineer features, and develop models to target audits.
• Optimize Impact: measure model performance and translate results into actionable insights for clients.
• Tame Complexity: refine complex data pipelines from messy workflows for robust modeling.
• Drive Team Success: improve data pipelines, modeling infrastructure, and tooling.
• Grow with Healthcare: deepen healthcare data expertise and align insights with business needs.

Conocimientos

SQL

Python/R

ML modeling

Neural nets / tree ensembles

Descripción del empleo

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.

Our team builds machine learning models for some of the largest health plans in the country to identify and audit claims errors from simple errors to outright fraud. Large insurance payers receive tens of millions of claims each year, of which they only are able to audit less than 10%. Our claim selection models help with selecting the right set of claims to audit and recover hundreds of millions of dollars each year reducing wasted medical spend. We have made significant progress already, with models that significantly outperform even selection by human experts but there are still many improvements to be made.

We are looking for a Sr. Data Scientist | Modeling 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:

• Master Claim Audits: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes.

• Model Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision.

• Optimize Impact: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients.

• Tame Complexity: Work with vast, nuanced data pipelines derived from intricate business workflows-often unclean and undefined-to refine them for robust modeling.

• Drive Team Success: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency.

• Grow with Healthcare: Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs.

What You Bring:

• You enjoy solving real-world business problems involving data-driven optimization and ML modeling - and have been doing that successfully for a while.

• You are comfortable measuring and optimizing the direct business impact of work.

• You are experienced with SQL, handling large-scale data, and are comfortable with at least one programming language (Python, R, etc.).

• You have experience building ML models using modern ML approaches like Neural Nets or Tree-ensembles from scratch for new applications - making decisions relating to which supervised labels to use, the metric to optimize for, and the features likely to be useful

What We Offer

• Workfrom anywhere in the US!Machinifyis 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.

Equal Employment Opportunity at Machinify

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/