Senior Data Scientist, New Ventures

Pomelo Care

6d•$180,000 - $210,000

About The Position

Pomelo Care is the national leader in evidence-based healthcare for women and children. We deliver personalized, high-quality clinical interventions from reproductive care and pregnancy, infant care and pediatrics, to hormonal health through perimenopause and menopause, with long-term preventive care and condition management. Our model delivers 24/7 multispecialty care to address the medical, behavioral, and social factors that most significantly impact outcomes for women and children. We partner with payers, employers, and providers to expand access to quality healthcare across the system. Role Description Your North Star: Use data to drive operational improvements and product decisions across our growing portfolio of businesses, helping us deliver better care and build sustainable growth. We're looking for an experienced, product-minded data scientist who will make an immediate impact across Pomelo’s new business lines. You'll be a true generalist—comfortable jumping from operational metrics one day to product analytics the next. This role requires someone who can quickly understand what matters most, and help teams make better decisions faster using a variety of data science tools and approaches.

Requirements

You have 4+ years of professional experience in data science, analytics, or analytics engineering
You're highly proficient in SQL and comfortable working across the data stack
You have strong product intuition and understand how to prioritize work based on business impact
You've worked in fast-paced environments where you needed to balance multiple stakeholders and shifting priorities
You're comfortable with ambiguity and can scope your own projects without detailed requirements
You communicate clearly with both technical and non-technical audiences
You have experience building dashboards and reports that people actually use (e.g., Looker, Tableau, Metabase)
You're excited about maternal and women's health and want your work to directly improve patient care

Nice To Haves

Proficiency in Python
Experience in healthcare operations, value-based care, or D2C healthcare products
Background working with survey data and patient-reported outcomes
Familiarity with modern data tools like dbt, Airflow, or Snowflake

Responsibilities

Partner with product and operations leaders to tighten the feedback loop on changes—analyzing metrics related to appointment show rates, care team efficiency, and revenue cycle funnel to measure impact and inform iterations
Build operational reporting for new business lines, tracking patient enrollment, engagement, and key outcome metrics
Analyze patient outcomes data from surveys and clinical measures to quantify the impact of our care and identify our highest-leverage improvement opportunities
Design and evaluate experiments across product features and operational processes to systematically test hypotheses and drive continuous improvement
Leverage behavioral and utilization data to uncover patterns in patient behavior that inform future product development
Build new data models and pipelines to ensure teams have access to clean, reliable data and enable flexible customer-facing reporting
Prioritize requests across multiple products and workstreams to focus on the highest impact work
Translate complex analyses into clear, actionable recommendations that inform business decisions