Job Description
Overview
At Quantile Health, our mission is to increase access to transformative medicines. As a Principal Data Scientist, you will play a critical role in shaping our data science strategy, developing advanced analytical models, and driving data-driven decision making across the company. You will work closely with engineering, product, and business teams to design scalable data infrastructure, evaluate foundational models (including LLMs), and translate complex data insights into actionable business strategies.
You will be both a hands-on contributor and a strategic leader, responsible for building and deploying high-impact models that solve key business challenges. As the company scales, you will take on leadership responsibilities, including mentoring and growing the data science team.
Key Responsibilities
- Develop, implement, and deploy statistical and machine learning models to solve complex business problems
- Define and execute the data science roadmap, aligning with business goals and long-term strategy
- Collaborate with engineering teams to design scalable data infrastructure and optimize data pipelines
- Evaluate and select foundational models, including large language models, for various business applications
- Ensure data integrity, accuracy, and quality to drive reliable insights and decision-making
- Communicate complex findings to technical and non-technical stakeholders, including clients and executive leadership
- Stay ahead of industry trends, emerging technologies, and best practices in data science
- Hire, mentor, and develop junior data scientists, fostering a high-performance and collaborative team culture
Qualifications
- PhD or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
- 8+ years of experience in data science, with a proven track record of delivering impactful solutions
- Expertise in statistical modeling, machine learning, and prompt engineering
- Proficiency in Python and experience working with large-scale datasets
- Strong understanding of data engineering principles and scalable data infrastructure
- Excellent problem-solving skills with the ability to translate complex insights into actionable business strategies
- Strong communication and leadership skills, with experience presenting to executive audiences
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