Position Description:
Mathematica 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. Mathematica offers 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. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance
We are seeking a motivated Director of Data Science to lead a practice of data scientists within our Health Solutions and Insights division. This individual will define strategy and offerings for AI/ML solutions that address critical challenges in healthcare using real-world data. They will also ensure outstanding delivery on those solutions by setting rigorous standards and cultivating a team of industry-leading data scientists.

REQUIREMENTS:

• Minimum of 7-10 years of leadership 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.
• Experience with applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
• Strong understanding of multivariable calculus and linear algebra fundamentals for predictive performance and algorithm optimization techniques.
• Knowledge of unsupervised and supervised machine learning methods such as clustering algorithms, decision trees, and neural networks
• Knowledge of generative AI technologies and techniques, including retrieval augmented generation, prompt engineering, and LLM fine-tuning
• Knowledge of programming languages like Python, R, Julia, and SQL; experience with Scala, Java, or C++ is a plus.
• Experience architecting cloud-based solutions and leveraging cloud-based distributed computing with AWS; experience with GCP or Microsoft Azure
  This position offers an anticipated annual base salary range of $150,000 - $200,000. This position is eligible for a discretionary bonus based on company and individual performance. To apply, please submit a cover letter (optional), resume, code samples, and salary expectations.
  STAFFING AGENCIES AND THIRD-PARTY RECRUITERS: Mathematica is not accepting candidates for this role or any technical role from staffing agencies or third-party recruiters. Please do not contact technical or senior staff at Mathematica or share unsolicited resumes. All agency inquiries go through the talent acquisition team and will be routed accordingly.
  Staff who contribute to Health-related projects or proposals will eventually work with some of our largest clients, including the Centers for Medicaid & Medicare Services (CMS) and other agencies. Most staff working on these contracts will be required to complete a successful background investigation including the Questionnaire for Public Trust Position SF-85 (https://www.opm.gov/forms/pdf_fill/sf85p.pdf). Staff that are unable to successfully undergo the background investigation will need to be able to obtain work outside these contracts. Staff will work with their supervisor to get re-staffed, however if they are unable to do so it may result in employment termination due to lack of work.
  Available Locations: Washington, DC; Princeton, NJ; Remote
  

  LI-AR1

remote-usa

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class

• Direct the Data Science Practice within the Health Solutions and Insights division, leading a growing team of 20+ data scientists in applying cutting-edge data science methods to real-world health data
• Develop and drive the practice vision, strategy, and offerings around innovative AI/ML solutions that furthers Mathematica’s mission to improve decision-making in healthcare through the rigorous use of data and evidence
• Direct projects, tasks, and initiatives involving cross-functional teams of data scientists, solution architects, engineers, researchers, and consultants to develop and deploy AI/ML solutions
• Prioritize, budget, and manage practice investments, such as initiatives, conferences, trainings, white papers, and journal articles.
• Collaborate with external clients, partners, contractors, and community members
• Mentor practice staff and elevate them as thought leaders
• Lead change management efforts to create a culture of continuous growth and innovation
• Actively support the advancement of organizational diversity, equity and inclusion efforts, and apply diversity, equity and inclusion lens across job responsibilities
  Position Requirements: