Senior Data Scientist, Analytics

Pomelo Care

3h•$160,000 - $180,000

About The Position

Your North Star: Build analytic solutions that drive impact across Pomelo's business and demonstrate value to our stakeholders. We're looking to bring on an experienced data scientist to join our data team and play a leading role in leveraging data to inform critical business decisions. Trustworthy, actionable data plays a critical role in Pomelo's mission to improve pregnancy outcomes. As a member of the data team, you will generate data and insights for both internal teams and external stakeholders that impact both our business decisions and the care that we deliver to patients. Specifically, you will:

Requirements

You have 4+ years professional experience in data analytics, data science, data engineering, or statistical analysis involving SQL
Passionate about improving maternal health outcomes
An autonomous individual contributor capable of prioritizing work across various workstreams
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

Nice To Haves

Experience working with healthcare data
Proficient in at least one programming language (e.g., Python)
Experience presenting analyses to senior business audiences
Experience with data dashboarding or visualization (e.g., Looker, Tableau, Metabase)
Experience working with dbt
Experience in a customer-facing role

Responsibilities

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
Build recurring and custom reports and dashboards to quantify key metrics around care delivery, operational performance, and patient outcomes
Partner closely with various teams (such as Customer Success, Operations, Market Operations, and Finance) on scoping requests and translating stakeholder needs into technical requirements
Identify opportunities to reduce manual time spent on reporting, and implement solutions using the appropriate technical tools
Think creatively about how to use data to tell our value story, improve patient care, and inform strategic decisions; define appropriate metrics and create visualizations