Job ID: 2255

Position Overview:

At Mathematica, our mission is to leverage data, innovative methodologies, and policy insights to drive improvements in global well-being. Our team collaborates with organizations in both public and private sectors, transforming complex queries into profound insights that enhance programs and strategies across a variety of domains including health, education, family support, nutrition, employment, disability, and international development. We pride ourselves on competitive salaries, extensive benefits, and the empowerment of being a 100% employee-owned firm. As part of our Employee Stock Ownership Plan (ESOP), you will enjoy financial benefits that reflect our company’s robust growth. Join us in defining our mission, enhancing quality, ensuring accountability, and contributing to our long-term financial success. For more details on our benefits, please click here:

We are on the lookout for a passionate and strategic leader to step into the role of Director of Data Science within our Health Solutions and Insights division. This pivotal position involves crafting AI/ML strategies and solutions that tackle significant healthcare challenges using real-world data. You will be responsible for guaranteeing the successful execution of these solutions by establishing high standards and nurturing a team of exceptional data scientists.

Key Responsibilities:

• Lead the Data Science Practice in the Health Solutions and Insights division, managing a dynamic team of over 20 data scientists who apply advanced data science techniques to health-related datasets.

• Formulate and advance the practice’s vision and strategy, focusing on innovative AI/ML solutions that align with Mathematica’s commitment to enhancing healthcare decision-making through data-driven insights.

• Oversee multi-disciplinary teams of data scientists, solution architects, engineers, researchers, and consultants in executing impactful AI/ML projects.

• Manage practice resources by prioritizing budgets and investments in initiatives, conferences, training sessions, and publications.

• Engage collaboratively with clients, partners, contractors, and community stakeholders.

• Provide mentorship to team members, cultivating their growth into thought leaders in the field.

• Champion change management processes that foster a culture of innovation and ongoing development.

• Support the organization’s dedication to diversity, equity, and inclusion by integrating these principles into all facets of the role.

Position Requirements:

Qualifications:

• A minimum of 7-10 years of leadership experience in data science and analytics, particularly within the healthcare sector.

• An advanced degree (PhD or Master’s) in Data Science, Computer Science, Economics, Public Health, Statistics, or a closely related field.

• Strong applied statistical skills, including familiarity with various statistical tests, distributions, regression models, and maximum likelihood estimation.

• A solid grasp of multivariable calculus and linear algebra, crucial for predictive modeling and algorithm optimization.

• Expertise in both unsupervised and supervised machine learning techniques, including clustering algorithms, decision trees, and neural networks.

• Understanding of generative AI technologies and methodologies, encompassing retrieval-augmented generation, prompt engineering, and LLM fine-tuning.

• Proficiency in programming languages such as Python, R, Julia, and SQL; experience with Scala, Java, or C++ is an added advantage.

• Experience in architecting cloud-based solutions and utilizing distributed computing resources on platforms like AWS; familiarity with GCP or Microsoft Azure is beneficial.

This role offers a competitive annual base salary ranging from $150,000 to $200,000, along with eligibility for a discretionary performance-based bonus. To apply, please submit your resume, optional cover letter, code samples, and your expected salary.

NOTE TO STAFFING AGENCIES AND THIRD-PARTY RECRUITERS: Mathematica is not accepting applications for this position from staffing agencies or third-party recruiters. Please refrain from contacting our technical or senior staff directly or submitting unsolicited resumes. All recruitment inquiries should go through our talent acquisition team.

Team members engaged in health-focused projects may have opportunities to work with prominent clients like the Centers for Medicare & Medicaid Services (CMS). Due to the nature of these contracts, successful completion of a background investigation is required, which includes the Questionnaire for Public Trust Position SF-85. Staff unable to clear this background check will need to seek alternate assignments outside these contracts, which may affect employment status.

Possible Locations: Washington, DC; Princeton, NJ; Remote

We are proud to be an Equal Opportunity Employer, ensuring that no employee or applicant is discriminated against based on race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, disability, or any other federal, state, or local protected class.

At Mathematica, we recognize the significance of fostering collegial relationships. If you work remotely and wish to connect with colleagues, we provide coworking spaces in various locations. Reach out to your Talent Acquisition partner for more information on this opportunity and its availability in your area.

Please note that any employment offer is conditional upon passing a background check. Some projects may necessitate specific security clearances, and if you are assigned to such initiatives, obtaining the required security clearance will be essential. If you engage in the application process and are denied, Mathematica reserves the right to terminate your employment.

While Mathematica does not mandate COVID-19 vaccination as a condition of employment, specific projects or agencies may require proof of vaccination or an approved exemption.

Our team takes pride in each member’s dedication to excellence and collaboration. We encourage creative problem-solving and shared responsibility in navigating complex projects. This collaborative ethos has established our reputation for delivering innovative, high-quality solutions.