Motion Recruitment
We’re seeking a Senior Data Scientist with a passion for turning complex data into actionable insights that shape the future of healthcare. In this role, you’ll work at the intersection of advanced analytics, clinical strategy, and business innovation to develop predictive models and data products that directly inform network and provider decisions.
If you’re looking to apply your technical expertise to real-world healthcare challenges and contribute to improved outcomes across access, affordability, and equity—this is the role for you.
What You’ll Be Doing
Analyze large and diverse healthcare datasets, including claims, provider, and operational data
Design, develop, and deploy machine learning models and statistical analyses that support strategic decision-making
Collaborate with stakeholders across technical and non-technical teams—business leaders, clinical experts, and executives—to guide model development and ensure adoption
Translate analytical findings into clear, compelling narratives through visualizations, reports, and presentations
Identify gaps, challenges, and opportunities across datasets and processes, and propose effective solutions
Contribute to the documentation, testing, and ongoing improvement of analytical tools and models.
Ideal Candidate Profile
Bachelor’s degree with 3+ years of experience in a quantitative field such as Data Science, Statistics, Computer Science, Engineering, Physics, or Economics
OR Master’s degree with 2+ years of experience
OR PhD in a related discipline
OR equivalent of 7+ years relevant experience without a formal degree
Proficient in at least 4 of the following 6 areas:
Data analysis and SQL or similar query languages
Machine learning and statistical modeling
Data visualization (e.g., dashboards, charts, storytelling tools)
High-level programming (e.g., Python, R, or similar)
Distributed computing and big data tools
Healthcare data knowledge and industry understanding
Preferred Qualifications
Advanced degree (Master’s or PhD) in a quantitative field
Experience working with large-scale healthcare data (e.g., claims, provider networks)
Familiarity with end-to‑end model deployment in a production environment
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If you’re looking to apply your technical expertise to real-world healthcare challenges and contribute to improved outcomes across access, affordability, and equity—this is the role for you.
What You’ll Be Doing
Analyze large and diverse healthcare datasets, including claims, provider, and operational data
Design, develop, and deploy machine learning models and statistical analyses that support strategic decision-making
Collaborate with stakeholders across technical and non-technical teams—business leaders, clinical experts, and executives—to guide model development and ensure adoption
Translate analytical findings into clear, compelling narratives through visualizations, reports, and presentations
Identify gaps, challenges, and opportunities across datasets and processes, and propose effective solutions
Contribute to the documentation, testing, and ongoing improvement of analytical tools and models.
Ideal Candidate Profile
Bachelor’s degree with 3+ years of experience in a quantitative field such as Data Science, Statistics, Computer Science, Engineering, Physics, or Economics
OR Master’s degree with 2+ years of experience
OR PhD in a related discipline
OR equivalent of 7+ years relevant experience without a formal degree
Proficient in at least 4 of the following 6 areas:
Data analysis and SQL or similar query languages
Machine learning and statistical modeling
Data visualization (e.g., dashboards, charts, storytelling tools)
High-level programming (e.g., Python, R, or similar)
Distributed computing and big data tools
Healthcare data knowledge and industry understanding
Preferred Qualifications
Advanced degree (Master’s or PhD) in a quantitative field
Experience working with large-scale healthcare data (e.g., claims, provider networks)
Familiarity with end-to‑end model deployment in a production environment
#J-18808-Ljbffr