ML Senior Data Scientist

Job Title: ML Data Scientist Location: Fully Remote (Quarterly Travel Required) Compensation: 130k-140k, 6 mo. Contract-to-Hire

About the Organization

This nationally recognized healthcare organization has spent over two decades at the intersection of clinical products and digital innovation. With a strong emphasis on improving outcomes for patients managing chronic conditions, they're building next-gen data platforms and predictive systems to drive better care decisions at scale and in the home.

You'll join a growing Center of Excellence that merges data, design, and delivery to power innovation. The culture is highly collaborative, remote-first (with quarterly gatherings), and deeply values curiosity, clarity, and continuous learning.

About the Role

We're hiring an ML Data Scientist to join the enterprise data & analytics team. You'll design and deliver machine learning models that power actionable insights across clinical, operational, and customer-facing domains.

Your work will span data exploration, model development, and business storytelling with an emphasis on solving real-world problems and creating high-utility products. If you love finding signal in noise, asking the right questions, and turning models into momentum, you'll thrive here.

Key Responsibilities

- Develop machine learning models and predictive systems to support business and clinical strategy

- Apply preprocessing, feature selection, and data mining techniques to complex datasets (structured and unstructured)

- Interpret and clean large datasets, identifying patterns and turning insights into strategic recommendations

- Collaborate with stakeholders across technical and non-technical teams to frame problems and translate them into data solutions

- Visualize insights in compelling, intuitive formats (Power BI, Tableau, etc.)

- Contribute to a culture of experimentation, iteration, and continuous improvement

- Deliver presentations and narratives that clarify complex results for executive and operational audiences

Ideal Background

- 5+ years in data science, analytics, or applied ML roles

- Strong experience in ML algorithms (e.g., kNN, SVM, forests, etc.) and statistical modeling

- Skilled in SQL and at least one programming language (e.g., Python, R); familiarity with modern cloud-based environments

- Strong understanding of statistics, linear algebra, and multivariable calculus

- Comfortable working with imperfect data and real-world constraints

- Experience with visualization tools (Power BI, Tableau, D3.js, etc.)

- Excellent communicator able to align data insights with business strategy

- Proven Databricks usage

- Healthcare industry exposure

What Makes This Special

This is a role where the models you build will tangibly impact people's lives. You'll be part of a team shaping the future of digital healthcare just optimizing for metrics, but for meaning.

If you're curious, creative, and energized by complexity, we love to hear from you.

Job Type: Full-time

Pay: $140,000.00 per year

Work Location: Remote