Data Science Leader

1 week ago

Washington, United States Mathematica Full time
About Mathematica

Mathematica is a pioneering company that applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding.

Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. As an employee-owned firm, we are uniquely positioned to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.

We offer our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength.

Job Overview

We are seeking a motivated Principal Data Scientist to lead data science efforts within our Data Innovation Lab. This individual will lead development of data-driven solutions that address critical challenges in healthcare, identifying and capitalizing on emerging opportunities to transform health data into actionable insights and innovative products.

Key Responsibilities
  • Strategic Leadership:
    • 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 our clients, fostering a culture of innovation.
  • Analytics & Product Development:
    • 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.
  • Collaboration:
    • 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.
    • Work collaboratively across technology and advisory services teams.
  • Mentorship & Supervision:
    • 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.
  • Diversity, Equity & Inclusion:
    • Actively support the advancement of organizational diversity, equity and inclusion efforts, and apply diversity, equity and inclusion lens across job responsibilities.
    • Engage with our research team during usability testing and user research studies to gather insights and ensure that our products meet the diverse needs of our 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.
Compensation

This position offers an anticipated annual base salary range of $150,000 - $190,000. This position is eligible for a discretionary bonus based on company and individual performance.

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