Data Scientist, Mantra Health

• Adaptable and Pragmatic: You are comfortable navigating ambiguity and evolving priorities. You adapt your approach as new information emerges and focus on practical solutions that balance rigor with speed
• Strong Analytical Judgment: You bring a solid foundation in statistics and applied analytics, with the ability to choose appropriate methods for the problem at hand. You understand concepts such as confidence intervals, bias, and tradeoffs, and apply them thoughtfully in real-world contexts
• Product-Oriented Data Scientist: You have experience working on analytics that directly influence product direction or business decisions. You understand how to define meaningful metrics, evaluate impact, and connect insights to outcomes
• Technically Proficient: You are proficient in Python and SQL and comfortable working with modern data stacks, pipelines, and large datasets. You value clean, well-documented, reproducible work and collaborate effectively with analytics and engineering partners
• Clear Communicator: You can explain complex analytical concepts to non-technical audiences and focus on the “so what.” You tell compelling stories with data that resonate with executives, partners, and cross-functional teams
• Mission-Aligned: You are motivated by improving student wellbeing and care access. You care about responsible data use, ethics, and outcomes, and you bring a “Grow Our Impact” mindset to your work
• Professional Experience: 4+ years of experience in data science, analytics, or a related field, including delivering analytics, models, or data products used in production environments
• Domain Experience: Experience working in healthcare, education, fintech, or other regulated or data-sensitive industries. Familiarity with healthcare or education data is a strong plus and will help you ramp more quickly
• Applied Product Analytics: Demonstrated experience applying data science in a product-driven context. You have worked on initiatives that directly informed product direction or business decisions, rather than purely exploratory or academic work
• Technical Proficiency: Strong proficiency in Python and SQL for data analysis. Comfortable working with large datasets, writing complex queries, and using Python-based libraries to clean, analyze, and interpret data
• Statistical Judgment: Solid grounding in statistical analysis and experimental thinking. You can design and evaluate analyses with appropriate rigor and clearly interpret results, balancing precision with practical decision-making
• Communication Skills: Proven ability to communicate insights and analytical concepts to diverse audiences. You can produce clear visualizations or presentations and explain the “so what” to inform decisions at multiple levels of the organization
• Cross-Functional Collaboration: A team-oriented mindset with experience working closely with Product, Engineering, Design, or Clinical partners to deliver shared outcomes
• Ownership & Accountability: High degree of self-direction and accountability. You take initiative, manage your time effectively, and can independently drive projects from problem definition through execution and follow-through
• If you’re excited by the opportunity to build life-changing technology and have the skills and passion to match, we’d love to meet you

Desirable

• Mantra Health is seeking a Senior Data Scientist to help advance Beacon, an intelligence platform designed to improve student well-being, success, and retention
• This role sits at the intersection of product, engineering, and strategy—turning complex data into clear, actionable insights that help institutions understand not just what is happening, but what to do next
• This is a highly visible, senior individual-contributor role with meaningful ownership and executive exposure
• The right candidate brings strong analytical judgment, excellent communication skills, and the ability to translate data into compelling narratives that demonstrate real-world impact and ROI while continuously enhancing Beacon capabilities
• Build Data Products for Population Insights: Design and deliver data products that translate complex data into clear, actionable insights for Care Teams and partnering schools. Focus on population-level insights that support early identification, prioritization, and effective response to student needs
• Develop the Data Platform Across the Care Lifecycle: Build and evolve data infrastructure that supports the full lifecycle—from identifying student needs, to recommending pathways for support, to escalation and follow-up. Partner with engineering to ensure insights are delivered reliably, securely, and at scale
• Validate Impact with Product and Clinical Partners: Work closely with Product and Clinical teams to define success metrics and validate the efficacy of insights, interventions, and workflows. Ensure analytics align with clinical realities, ethical standards, and real-world care delivery
• Drive Scalable, Technology-Enabled Improvement: Lead efforts to apply technology-driven solutions that deepen understanding of each student while supporting a rapidly growing population. Continuously improve how insights are generated, delivered, and acted upon to ensure Beacon scales without sacrificing quality or clarity