Full-Time Senior Data Scientist

At Fullscript, we’re not just changing healthcare—we’re making it whole. We help 100,000+ healthcare practitioners support 10 million patients with a platform that delivers evidence-based health solutions, diagnostic support, and practitioner tools—all in one place.

What You’ll Do:

• Advanced Analytics & Modeling: Develop and implement sophisticated statistical models and machine learning algorithms to analyze large datasets, uncover trends, and predict future behaviors.
• Experimentation & Causal Inference: Design, conduct, and analyze A/B tests and other experiments to evaluate the impact of product changes and new features.
• Cross-Functional Collaboration: Partner with Product Managers, Engineers, and other stakeholders to identify data-driven opportunities and influence product and business strategies.
• Data Pipeline Development: Work alongside Analytic Engineers to design and optimize data pipelines, ensuring efficient data collection, processing, and availability.
• Mentorship: Guide and mentor junior data scientists and analysts, fostering a culture of continuous learning and improvement within the team.
• Stakeholder Communication: Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences.

What You Bring:

• 5+ years of experience in data science, preferably in product-led, high-growth environments (SaaS or eCommerce a bonus)
• Strong foundation in experimental design, causal inference, and statistical analysis
• Ability to tackle ambiguous problems, identify key insights, and drive actionable recommendations
• Excellent verbal and written communication skills, with the ability to convey complex concepts to diverse audiences
• Proficiency in SQL and programming languages like Python or R
• Experience with machine learning frameworks (e.g., scikit-learn, XGBoost or similar) and statistical modeling techniques
• Familiarity with data visualization tools and techniques.

Bonus Points:

• Background in health tech, integrative medicine, or related fields
• Experience with BI tools like Looker or Tableau, and familiarity with cloud platforms such as Snowflake or AWS
• Knowledge of deep learning, natural language processing, or other advanced machine learning methodologies

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