Senior Data Scientist, New Ventures

Pomelo Care is seeking an experienced, product-minded Senior Data Scientist for its New Ventures. This role involves leveraging data to drive operational improvements and product decisions across new business lines. The successful candidate will analyze metrics, build operational reporting, evaluate patient outcomes, design experiments, and uncover patient behavior patterns to inform product development, ultimately delivering better care and sustainable growth. The ideal candidate has 4+ years of experience, is proficient in SQL, possesses strong product intuition, and thrives in fast-paced, ambiguous environments.

Must Have

• Partner with product and operations leaders to analyze metrics related to appointment show rates, care team efficiency, and revenue cycle funnel.
• 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 impact and identify improvement opportunities.
• Design and evaluate experiments across product features and operational processes.
• Leverage behavioral and utilization data to uncover patterns in patient behavior.
• Build new data models and pipelines to ensure access to clean, reliable data.
• Prioritize requests across multiple products and workstreams to focus on highest impact work.
• Translate complex analyses into clear, actionable recommendations.
• 4+ years of professional experience in data science, analytics, or analytics engineering.
• Highly proficient in SQL and comfortable working across the data stack.
• Strong product intuition and understanding of how to prioritize work based on business impact.
• Experience in fast-paced environments, balancing multiple stakeholders and shifting priorities.
• Comfortable with ambiguity and can scope own projects without detailed requirements.
• Communicate clearly with both technical and non-technical audiences.
• Experience building dashboards and reports that people actually use (e.g., Looker, Tableau, Metabase).
• Excited about maternal and women's health and want work to directly improve patient care.

Good to Have

• 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.

Perks & Benefits

• Competitive healthcare benefits.
• Generous equity compensation.
• Unlimited vacation.
• Opportunity to learn, grow and be challenged.
• Inclusive environment where employees from all backgrounds are respected.

About us

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.

In this role, you will:

• 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

Who you are

You're an impact-oriented data scientist who gets energized by solving real business problems and wearing many hats. You don't need perfect data or a six-month runway—you can figure out what's possible with what you have and deliver value quickly. Specifically:

• 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

Bonus points if you have:

• 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

Why you should join our team

By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow and be challenged -- and have fun with your team while doing it.

We strive to create an environment where employees from all backgrounds are respected. We also offer:

• Competitive healthcare benefits
• Generous equity compensation
• Unlimited vacation

At Pomelo, we are committed to hiring the best team to improve outcomes for all mothers and babies, regardless of their background. We need diverse perspectives to reflect the diversity of problems we face and the population we serve. We look to hire people from a variety of backgrounds, including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care. In accordance with New York City, Colorado, California, and other applicable laws, Pomelo Care is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Given that this role is open to candidates of different skill levels, determining a salary range is challenging. A reasonable estimate of the current salary range is $180,000 to $210,000. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash.

Potential Fraud Warning

Please be cautious of potential recruitment fraud. With the increase of remote work and digital hiring, phishing and job scams are on the rise with malicious actors impersonating real employees and sending fake job offers in an effort to collect personal or financial information.

Pomelo Care will never ask you to pay a fee or download software as part of the interview process with our company. Pomelo Care will also never ask for your personal banking or other financial information until after you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All official communication with Pomelo Care People Operations team will come from domain email addresses ending in @pomelocare.com.

If you receive a message that seems suspicious, we encourage you to pause communication and contact us directly at careers@pomelocare.com to confirm its legitimacy. For your safety, we also recommend applying only through our official Careers page. If you believe you have been the victim of a scam or identity theft, please contact your local law enforcement agency or another trusted authority for guidance.