Full-Time Senior Data Scientist

About Thalamus Our mission is to help the right doctors practice at the right hospitals to treat the right patients. We leverage a passion for technology, medical education, equity, and data-driven research to optimize physician recruitment, starting with the medical residency recruitment process. Our philosophy is that the opportunity to practice medicine in an ideal environment should be accessible to all, and ample medical research has shown that this results in patients getting better healthcare outcomes overall. We built a comprehensive interview management platform, backed by evidence-based research, to innovate, streamline, and optimize the residency recruitment process. Thalamus is the market leader in graduate medical education recruitment technology, empowering over 8,000 residency and fellowship programs at 800+ health systems and all new physicians throughout the US annually. As we expand beyond GME into broader physician recruitment, our unique dataset—spanning the full profiles of residency/fellowship applicants and programs—positions us to revolutionize hiring in healthcare through AI/ML and data-driven insights. This furthers our mission to ensure the right doctor ends up at the right hospital to treat the right patients.

About the Role We are building a data science team from the ground up, and we are looking for an exceptional Senior Data Scientist to lead the way. This is a rare opportunity to shape the data function of a high-growth, product-led, mission-driven, and growth-stage company that is solving one of the most critical workforce challenges in healthcare, and costs the US healthcare system upwards of $300B annually.

Responsibilities:

• Build from 0 to 1
• Own and maintain Thalamus’s data warehouse and data science practices and processes.
• Access raw data, and then transform it, analyze it, and render it in a compelling way.
• Evaluate A/B experiments to determine success of product feature launches.
• Build predictive models to provide insight and lay groundwork for future AI/ML-powered products to optimize GME and broader physician recruitment.
• Collaborate with key internal stakeholders in Product, Engineering, Data Engineering, Go-to-Market, and Customer Experience teams.
• Evaluate key product and business metrics to inform strategy, including building dashboards to identify root causes of and changes in metrics.
• Build data-as-a-service offerings in collaboration with product and engineering
• Supplement Thalamus’s proprietary data with external public and private datasets

Requirements:

• 7+ years of data science experience
• Proven success building and scaling data science functions within a high-growth, fast-paced, ambiguous environment, thriving on autonomy and impact
• Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
• At least 2 years of experience in the delivery of analytics solutions in healthcare
• Ability to translate complex data into actionable business insights
• 5+ years with python, best practices for coding and documentation
• 5+ years database experience (postgres, sqlserver, and snowflake) and distributed databases/warehousing (hadoop, databricks)
• Ability to manipulate large data sets with high dimensionality and complexity
• Experience integrating third-party datasets into existing data ecosystems
• Hands-on experience with AI/ML techniques, including LLM, NLP, OCR and predictive analytics
• Strong data visualization skills using tools such as Tableau
• Strong technical understanding to partner with technical teams and discuss trade-offs/prioritization
• Working in Azure or AWS
• Bachelor's degree in data science, statistics, computer science, or related field

Bonus points:

• Experience in healthcare, GME, or physician recruitment
• Exposure to data monetization and B2B SaaS data-as-a-service models

Salary: $210,000 - $250,000 (plus stock options)

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