Lead Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and oversee analytical initiatives that shape product direction, business strategy, and clinical impact.

• Create predictive models and behavioral analyses to determine which clinicians utilize MDCalc, their engagement with clinical tools, and how usage trends change across specialties, care settings, and patient conditions.

• Examine extensive and intricate healthcare datasets, including clinician engagement, product usage patterns, and provider behavior, to reveal patterns, opportunities, and actionable insights.

• Engineer and execute reliable data pipelines, workflows, and dashboards that grow alongside MDCalc.

• Collaborate with product managers, engineers, and clinical experts to convert data into product requirements and measurable outcomes.

• Establish experimentation frameworks and spearhead A/B testing to enhance product performance.

• Set benchmarks for data integrity, reproducibility, and quality, ensuring confidence in insights across the organization.

• Serve as a thought partner for leadership, articulating findings and recommendations clearly to facilitate strategic decision-making.

⛳️ Requirements

• Bachelor’s, Master’s, or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, or a related discipline.

• Over 10 years of experience in applied data science, statistical modeling, or predictive analytics, preferably with healthcare, clinical, or provider behavior datasets.

• Solid foundation in statistical methods, predictive modeling, and machine learning principles.

• Proficiency in Python or R along with relevant data science libraries such as pandas, scikit-learn, statsmodels, NumPy, or equivalent.

• Strong SQL skills and experience managing large datasets.

• Background in developing, assessing, and refining machine learning models in practical applications.

• Experience in designing and analyzing experiments and interpreting results with statistical rigor.

• Capability to communicate complex technical concepts clearly and effectively.

• Strong ownership mentality and the ability to work independently in a fast-paced environment.

• Familiarity with data visualization and BI tools like Tableau or Looker, with the ability to narrate compelling data stories to varied audiences.

• Expertise in Python (pandas, NumPy, scikit-learn) and SQL, with a history of building production-grade predictive or statistical models.

• In-depth knowledge of machine learning techniques such as regression, classification, clustering, recommendation systems, and causal inference.

• Proven success in leading data initiatives from conception to execution and influencing product roadmaps.

• Experience in designing experiments, conducting A/B tests, and evaluating product success through data.

• Preferred experience with healthcare, clinical, or life sciences datasets, including provider behavior, claims data, utilization data, or clinical decision support platforms.

🏝️ Benefits

• Medical, Dental, & Vision coverage, with the option to extend to your dependents.

• Company-sponsored short-term insurance.

• Fully-paid 8-week parental leave, after 6 months of employment.

• Company-sponsored 401k, after 3 months of employment.

• Unlimited vacation for salaried roles - we trust you to take the time you need.

• Tri-annual company offsites to connect, reflect, and plan together.

• Monthly work from home stipend.

• Hybrid work environment with an excellent team office in Greenwich Village, NYC.

• A culture of enjoyment and motivated team members who are committed to a greater mission at MDCalc.