Senior Data Scientist, New Ventures at Pomelo Care

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

210000.0

Posted On

17 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, SQL, Product Analytics, Operational Reporting, Patient Outcomes Analysis, Experiment Design, Data Modeling, Dashboard Building, Communication, Healthcare Operations, Python, Survey Data Analysis, Behavioral Data Analysis, Utilization Data Analysis, Data Pipelines, Stakeholder Management

Industry

Hospitals and Health Care

Description

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.

Responsibilities

The Senior Data Scientist will partner with product and operations leaders to analyze metrics and build operational reporting for new business lines. They will also design experiments and leverage data to inform product development and operational improvements.