Data Scientist - Risk Adjustment at ExecutivePlacements.com

Base pay range

$129,767.00/yr - $165,274.00/yr

Overview

This range is provided by myPlace Health. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

About This Role

As a Risk Adjustment Data Scientist at myPlace Health, youll do more than work with numbersyoull help shape how we care for the communities we serve. In this role, youll partner closely with business, clinical, and operational leaders to uncover high-value challenges and design innovative, data-driven solutions. Youll build predictive models, develop scalable data pipelines, and transform complex healthcare data into clear insights that guide critical decisions.

Your work will directly influence provider engagement, improve documentation and coding accuracy, and ensure compliant, data-driven risk adjustment submissions. By creating dashboards and tools that make data accessible and actionable, youll empower teams across the organization to deliver better outcomes for the participants who rely on us every day.

Responsibilities

• Shape High-Impact Solutions: Partner closely with business and clinical leaders to uncover valuable risk-adjustment challenges and craft innovative, data-driven solutions that improve participant care
• Bring Data to Life: Design and deploy predictive models that estimate risk scores and highlight anomalies across patient populations
• Build Strong Data Foundations: Contribute to robust data pipelines and scalable model infrastructure in Microsoft Fabric, integrating structured and unstructured data
• Collaborate to Deliver: Work with Product and Operations to create production-ready models using version-controlled workflows, CI/CD practices, and cloud environments
• Illuminate the Journey: Track the full lifecycle of risk-adjustment submissions and ensure accuracy and compliance with CMS documents (MAO-004, MOR, MMR)
• Turn Data Into Stories: Build dashboards in Power BI to present clear, actionable insights for leaders
• Drive Better Engagement: Monitor physician performance in risk-adjustment workflows and identify opportunities for education and workflow optimization
• Standardize for Scale: Develop consistent documentation logic, definitions, and reporting workflows for enterprise-wide analytics
• Simplify the Complex: Translate intricate data findings into actionable insights for Operations, Clinical, and Finance teams
• Pitch In Where Needed: Contribute to additional projects with a collaborative problem-solving approach
  
  

Ideal Candidate Look Like

• A Strong Educational Foundation: Masters degree in Computer Science, Statistics, Mathematics, Engineering, or related field
• Proven Real-World Impact: 4+ years of experience applying machine learning and predictive modeling
• Hands-On Coding Expertise: Proficiency in Python (preferred) or R, with end-to-end data science solution delivery
• Data Wrangler Skills: Strong SQL experience transforming large-scale healthcare data into insights
• Technical Rigor: Understanding of data structures, algorithms, and software engineering best practices
• Advanced Machine Learning Know-How: Knowledge of predictive modeling, classification, and natural language processing
• Healthcare Data Savvy: Experience analyzing large datasets such as claims, EMR, enrollment, and operational data
• Insight Translator: Ability to turn complex analysis into clear, actionable insights for technical and non-technical stakeholders
• Effective Communicator: Excellent written and verbal communication with a collaborative mindset
• Risk Adjustment Expertise: Hands-on experience with CMS-HCC, PACE, or Medicare Advantage models
• Healthcare Data Familiarity: Knowledge of datasets including 837 files, EMR, and eligibility data
• Workflow Awareness: Understanding of physician engagement processes that support coding accuracy
• Big Data Proficiency: Experience with Spark, Fabric, Databricks, or Snowflake
• Cloud Environment Experience: Comfortable with Azure, AWS, or similar platforms
• Visual Storytelling Skills: Proficient in Power BI, Tableau, or similar tools
• Startup-Ready Spirit: Adaptable and energized by fast-growing environments
  
  

The Fine Print

• Hybrid with Purpose: Based in Los Angeles, with up to 2 onsite days per week depending on business needs
• Work-Life Balance Youll Appreciate: Monday through Friday schedule
• Collaborative Leadership: Reports to the Senior Director of Data Analytics
  
  

Physical Requirements

• Primarily desk-based role with minimal physical demands
• Lift or move light office items occasionally (up to 10 pounds)
• Use computers, phones, and other tools independently
• Communicate via phone, video, email, and text
• Perform essential job functions in both virtual and onsite settings
  
  

Join Us and Make an Impact

At myPlace Health, youll turn insights into action that improves lives every day. If youre excited to apply your expertise in a collaborative, mission-driven environment, wed love to hear from you. Bring your curiosity, skills, and passion for problem-solving, and help shape the future of care for the seniors who need it most.

Whats In It for You?

We offer a comprehensive rewards package designed to support your well-beingprofessionally, financially, and personally.

Competitive Pay & Total Rewards

Strong base salary with a total rewards package that reflects your experience, education, certifications, and location. For onsite roles, pay is adjusted by local markets; remote roles align to national pay benchmarks.

Performance-Based Incentives

Incentive plan rewards contributions based on team and organizational performance.

Ongoing Growth & Feedback

Two performance reviews per year where applicable.

Plan for Your Future

401(k) plan with employer match.

Health Coverage that Fits Your Life

Six medical plans with substantial employer contributions; dental and vision, FSA/HSA options, disability, life insurance, and more.

Generous Time Off

20 days PTO, 12 paid holidays, and 2 floating holidays each year.

Learning Support

CME/CEU budget, dedicated learning time, and growth opportunities.

Family Comes First

Paid parental leave and child care stipend.

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