Principal Data Scientist (Remote Eligible)

$150,000 - $190,000/Yr

Mathematica Policy Research - Salt Lake City, UT

Full-time - Senior

Hybrid - Salt Lake City, UT

Professional, Scientific, and Technical Services

About the position

Mathematica is seeking a Principal Data Scientist to lead data science initiatives within the Data Innovation Lab. This role focuses on developing data-driven solutions to address critical healthcare challenges, transforming health data into actionable insights, and ensuring the lab remains at the forefront of innovation in the healthcare sector. The position involves strategic leadership, analytics and product development, collaboration with various stakeholders, mentorship, and a commitment to diversity, equity, and inclusion.

Responsibilities

• Lead the data science function within the lab, transforming conceptual data ideas into actionable solutions.
• Articulate data concepts and guide the development of data products from ideation to productization.
• Position the Lab as a hub of innovation within Mathematica and with clients, fostering a culture of innovation.
• Design products from concept to launch, ensuring user-friendliness and alignment with client needs.
• Stay updated with emerging technologies to enhance data product innovation.
• Define assessment criteria for data products from vendors and internally created solutions.
• Lead change management efforts to foster a continuous innovation culture.
• Collaborate with client partners, solution architects, and development teams to design solutions that meet client needs.
• Communicate design decisions and trade-offs effectively to stakeholders.
• Foster community and collaboration through regular knowledge-sharing forums.
• Mentor and pair with designers and engineers to craft creative solutions.
• Oversee the development of lab projects to ensure consistent delivery of data products.
• Support organizational diversity, equity, and inclusion efforts across job responsibilities.
• Engage with the research team during usability testing and user research studies.

Requirements

• Minimum of 7-10 years of experience in data science and analytics, with a strong focus on healthcare.
• Advanced degree (PhD or Master's) in Data Science, Computer Science, Economics, Public Health, Statistics or a related field.
• Knowledge of statistical programming languages like R and Python, and database query languages like SQL and Hive; experience with Scala, Java, or C++ is ideal.
• Experience with applied statistical skills, including knowledge of statistical tests, distributions, regression, and maximum likelihood estimators.
• Knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, and Decision Trees.
• Strong understanding of multivariable calculus and linear algebra fundamentals for predictive performance and algorithm optimization techniques.
• Proficiency with data wrangling and managing data imperfections.
• Experience with data visualization tools like matplotlib, ggplot, d3.js, and Tableau.
• Experience with cloud computing such as AWS, GCP, Microsoft Azure.

Benefits

• Competitive salaries
• Comprehensive benefits package
• Employee stock ownership plan (ESOP)