About the position
Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies. We are transforming outcomes for pregnant people and babies with evidence-based pregnancy and newborn care at scale. Our technology-driven care platform enables us to engage patients early, conduct individualized risk assessments for poor pregnancy outcomes, and deliver coordinated, personalized virtual care throughout pregnancy, NICU stays, and the first postpartum year. We measure ourselves by reductions in preterm births, NICU admissions, c-sections and maternal mortality; we improve outcomes and reduce healthcare spend. Your North Star: Build analytic solutions that demonstrate Pomelo’s value to our payer partners. We’re looking to bring on a data scientist to join the Payer Impact team and play a leading role in telling our value story to customers. Trustworthy, actionable data plays a critical role in Pomelo’s mission to improve pregnancy outcomes. As a member of the data team, you will generate data and insights for our customers and internal teams on both our business decisions and the care that we deliver to patients.
Responsibilities
- Become an expert in the data that Pomelo has about our patient care and clinical outcomes, and play a foundational role in building the data culture of Pomelo
- Build recurring and custom reports and dashboards to quantify the care and outcomes of Pomelo patients to external audiences
- Partner closely with the Customer Success team on scoping customer requests and translating customer needs into technical requirements
- Collaborate with the Finance team to define and implement billing strategies for payers
- Identify opportunities to reduce manual time spent on reporting, and implement solutions using the appropriate technical tools
- Think creatively about how to use data to satisfy customer reporting requirements and tell our value story to customers; define appropriate metrics and create visualizations
Requirements
- 4+ years professional experience in data analytics, data science, data engineering, or statistical analysis involving SQL
- Passionate about improving maternal health outcomes
- An autonomous individual contributor capable of prioritizing work across various workstreams
- Experienced scoping and implementing data-driven solutions to ambiguous problems, prioritizing efficacy over complexity
- Excited to work cross-functionally across technical and non-technical stakeholders, including folks who do not share your technical expertise
- A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
Nice-to-haves
- Experience working with healthcare data
- Experience presenting analyses to senior business audiences
- Proficient in at least one programming language (e.g., Python)
- Experience with data dashboarding or visualization (e.g., Looker, Tableau, Metabase)
- Experience working with dbt
- Experience in a customer-facing role
Benefits
- Competitive healthcare benefits
- Generous equity compensation
- Unlimited vacation
- Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)
