Principal Data Scientist (Remote Eligible)

$150,000 - $190,000/Yr

Mathematica Policy Research - Boise, ID

Full-time - Senior

Hybrid - Boise, ID

Professional, Scientific, and Technical Services

About the position

The Principal Data Scientist at Mathematica will lead data science initiatives within the Data Innovation Lab, focusing on developing data-driven solutions to address critical healthcare challenges. This role involves transforming conceptual data ideas into actionable insights, fostering innovation, and ensuring the lab remains at the forefront of healthcare data innovation.

Responsibilities

• Lead the data science function within the lab, transforming highly conceptual data ideas into actionable, data-driven solutions.
• Articulate data concepts, guiding the development of well-designed data products from ideation through productization.
• Position the Lab as the hub of innovation within Mathematica and with clients, fostering a culture of innovation.
• Lead the design of products from concept to launch, ensuring they are user-friendly and meet client needs.
• Stay up to date with emerging technologies and incorporate this knowledge into the design process to enhance data product innovation.
• Define assessment criteria for understanding data products purchased from vendors and created internally.
• Lead change management efforts to create a continuous innovation culture at Mathematica.
• Work collaboratively with client partners, solution architects, and development teams to understand the problem domain and design solutions that meet client needs.
• Communicate design decisions and trade-offs effectively to stakeholders.
• Foster community and collaboration through regular forums for knowledge-sharing.
• Mentor and pair with designers and engineers to craft creative solutions.
• Oversee the development of lab projects to ensure consistent and streamlined delivery of data products.
• Actively support the advancement of organizational diversity, equity and inclusion efforts, applying a DEI lens across job responsibilities.
• Engage with the research team during usability testing and user research studies to gather insights and ensure that products meet the diverse needs of customers.

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, maximum likelihood estimators, etc.
• 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, etc.

Benefits

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