Senior Data Scientist, Commercial

Role Summary

Are you excited about the power of AI to transform healthcare? Do you excel in advanced analytics and AI/ML and want to apply your skills to a high-impact product launch with the potential to reach millions of patients? Then we want you on our team! We’re searching for an experienced data scientist who is passionate about AI, statistics, and machine learning to solve real-world business problems. You’ll collaborate with cross-functional teams to deliver insights that drive launch success and improve patient outcomes.

Responsibilities

• Lead technical initiatives that harness diverse data sources to enhance the design and development of AI models, outreach prioritization engines (e.g. Next Best Action), analyze and optimize marketing, and address other related challenges.
• Work closely with a diverse, talented, and collaborative team of AI experts, data engineers, and strategists to develop and deploy cutting-edge solutions for our top business priorities.
• Create compelling visualizations and communicate insights to both technical and non-technical stakeholders, making complex insights accessible and actionable.
• Engage with the broader data science and AI community to keep up with the latest methodologies, software, and data developments.
• Bring your innovative and ethical mindset to work, fostering openness, transparency, and collaboration.

Qualifications

• Required: Minimum 2 years of experience as a Data Scientist, ideally with exposure to product launches or commercial AI/ML in healthcare.
• Required: Strong proficiency in Python, SQL, Machine Learning (Random Forest, XGBoost, Deep Learning) and cloud data environments (e.g., Snowflake, Databricks).
• Required: Expertise in statistical modeling, machine learning, and data pipeline development.
• Required: Ability to translate complex data into actionable insights for launch teams.
• Preferred: Experience with building, deploying, and measuring impact of agentic/Gen AI solutions is highly desirable.
• Preferred: Experience with healthcare datasets (e.g., EHR, claims, SDoH) is highly desirable.

Skills

• Proficiency with Python, SQL, and machine learning frameworks; experience with statistical modeling and data pipeline development.
• Experience with cloud data environments (e.g., Snowflake, Databricks).
• Ability to translate complex data into actionable insights and communicate them to diverse stakeholders.

Education

• PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science) or Master’s degree with 2+ years of relevant experience.
• Proven track record applying data science to commercial or clinical problems.
• Familiarity with biopharma or healthcare industry, especially in launch contexts or large and complex markets, is a plus.