Senior Data Scientist, Care Intelligence

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: Enable AI product development through data modeling, measurement, and data-driven insights

We're looking to bring on an experienced data scientist to join a team developing AI-powered products across our platform. As a data scientist on the Care Intelligence team, you will design, build, and optimize intelligent systems that enhance our clinical programs, drive patient engagement, and create new capabilities for our care teams and patients.

• Become an expert in Pomelo’s business model and patient experience, identifying opportunities for AI product development

• Complete exploratory analyses to inform development of AI features, such as conversation topic categorization and patient journey segmentations

• Contribute to the development of AI-powered features and products, such as content generation, clinical decision support, and automated workflows

• Define and implement quantitative metrics and measurement frameworks to measure the quality and impact of AI-generated content and workflows

• Execute comprehensive analyses to measure AI product performance, conduct A/B tests, and quantify the impact of AI-driven features on clinical and business outcomes

Who you are

You are an AI-focused data scientist and product thinker who is passionate about applying technology to healthcare challenges, and excited to work at a startup. Specifically,

• You have 6+ years professional experience in a data science role with a focus on product development

• You have 3+ years professional experience working in healthcare or regulated industries

• Expert proficiency in both SQL and Python

• Proven experience with AI product prototyping, leveraging LLMs and model evaluation

• Passionate about improving maternal health outcomes through innovative AI solutions

• Demonstrated ability to scope and implement solutions to complex, ambiguous problems across multiple domains

• Excited to work cross-functionally with technical and non-technical teams, effectively communicating technical capabilities and limitations to diverse stakeholders

Bonus points if you have any of the following

• Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications

• Background in healthcare AI, clinical decision support, or medical NLP

• Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)

• Experience working with modern data stack tools (e.g., dbt, Airflow, 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 [email protected] 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.