Data Scientist, Operations Enablement (All Levels) at Pomelo Care

, , United States -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

190000.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Data Science, Data Engineering, Statistical Analysis, SQL, Python, Healthcare, Data-Driven Solutions, Collaboration, Communication, Automation, Pattern Matching, Claims Denials, Documentation Quality, Patient Eligibility, AI-Driven Pipeline

Industry

Hospitals and Health Care

Description

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 focused on operational enablement, you will generate data and insights in order to scale and improve non-clinical workflows across the business. 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 non-clinical teams (e.g. Accounting, Revenue Cycle, Care Operations, Market Operations) to scale quickly and effectively Use data to identify and quantify opportunities to automate critical business processes Work with engineers and SMEs on building an AI-driven pipeline to automate the medical coding process, including data exploration, modeling, validation and optimization Define and implement metrics that measure the performance of key systems including medical coding and claims submissions Build robust, data-driven approaches for pattern matching claims denials and rejections, documentation quality for billing purposes, patient eligibility determinations, and more. 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 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 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 $140,000 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.

Responsibilities

Create, analyze, and visualize foundational data to improve the lives of moms and babies. Collaborate on designing and implementing systems that enable non-clinical teams to scale quickly and effectively.