Data Scientist

29 Minutes ago • 3 Years + • Data Analysis • $120,000 PA - $190,000 PA

Job Summary

Job Description

Pomelo Care is seeking a Data Scientist to create, analyze, and visualize foundational data to improve care for moms and babies. The role involves building and enhancing tools for their virtual care platform and patient care model. Responsibilities include becoming an expert in patient care and clinical outcome data, collaborating on new data systems, conducting exploratory analyses, defining performance metrics, developing algorithms for patient identification and engagement, leveraging AI for insights from unstructured data, and identifying opportunities to improve patient care through data. The ideal candidate is a collaborative, analytic thinker focused on impact, with professional experience in data analytics, data science, or statistical analysis involving SQL and healthcare.
Must have:
  • 3+ years in data analytics/science/engineering or statistical analysis with SQL
  • 3+ years of experience in healthcare
  • Proficient in at least one programming language (e.g., Python)
  • Passionate about improving maternal health outcomes
  • Experienced with data-driven solutions to ambiguous problems
  • Strong communicator, keen nose for value
  • Excited to work cross-functionally with technical/non-technical stakeholders
Good to have:
  • Experience with data dashboarding or visualization (e.g., Looker, Tableau, Metabase)
  • Experience with AI product prototyping and LLMs for analytics
  • Experience working with dbt
Perks:
  • Competitive healthcare benefits
  • Generous equity compensation
  • Unlimited vacation
  • Membership in the First Round Network

Job Details

About us

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.

Role Description

Your North Star: Create, analyze, and visualize foundational data that we can use to improve the lives of moms and babies. 

We’re looking to bring on an experienced data scientist to build and improve the tools we use to deliver care to patients. Trustworthy, actionable data plays a critical role in Pomelo’s mission to improve pregnancy outcomes. As a data scientist, you will generate data and insights that guide the development of our virtual care platform and patient care model. Specifically, you will:

  • 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
  • Collaborate on designing and implementing new systems that enable our clinical team to deliver personalized, data-driven care 
  • Complete exploratory analyses to inform development of new tools and product features, such as conversation topic categorization and patient journey segmentations 
  • Define and implement metrics that measure the performance of Pomelo’s tools and products
  • Develop algorithms to identify high priority patients and guide clinician engagement and interventions 
  • Leverage AI to transform unstructured data on patient care into actionable insights that improve patient experience and outcomes 
  • Identify opportunities to use data to improve how we provide patient care, and collaborate with cross-functional stakeholders to develop and implement new tools, models, and processes at the point of care 

Who you are

You are a collaborative problem solver and analytic thinker who is focused on driving impact, and excited to work at a startup. Specifically,

  • You have 3+ years professional experience in data analytics, data science, data engineering, or statistical analysis involving SQL
  • You have 3+ years professional experience working in healthcare
  • Proficient in at least one programming language (e.g., Python)
  • Passionate about improving maternal health outcomes 
  • 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

Bonus points if you have any of the following

  • Experience with data dashboarding or visualization (e.g., Looker, Tableau, Metabase) 
  • Experience with AI product prototyping and leveraging LLMs for analytics 
  • Experience working with dbt

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
  • 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)

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 $120,000 to $190,000. 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.

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