Job Description
Thank you so much for your interest! I have (2) openings that are identical; 1 will start ASAP and the other will start the first week of 2026. Due to our client's desire to convert this resource to an FTE after the 12mo contract, and their inability to provide direct sponsorship, we are only able to submit USC or GC.
Title: Data Scientist
Duration: 12mo contract to hire
Hourly Pay: $50-59/hr approx.
Schedule: REMOTE anywhere in the US, Mon-Fri day shift (core hours, EST/CST)
Start Date: ASAP
Interview Times: TBD
Interview Process: 2-3 rounds
Must Haves
- Masters Degree within Computer or Data Science (or similar)
- Healthcare experience strongly preferred
- 6yrs+ (Masters) OR 2yrs+ (PhD) Data Scientist experience
- Experience leveraging cloud technologies for model creation, training, deployment, etc (GCP/Azure/AWS)
- Strong communication skills
- Proven ability to build regression models and advanced machine learning models (e.g., decision trees, predictive models, segmentation models).
- Experience designing and executing A/B tests, hypothesis testing, and experimental designs.
- Skilled in campaign program design, including statistical measurement and analysis.
- Capable of both building and deploying models; deployment experience is preferred but not strictly required (support available from Data Engineering team if needed).
- Strong understanding of statistical testing and measurement methodologies.
- Ability to work with various types of segmentation models.
- Comfortable collaborating with cross-functional teams, including data engineering and analytics.
Plusses
- Expertise within GCP (they use BigQuery heavily on this team)
- Project Management experience/abilities
Day to Day Summary
In this experienced data science role, you’ll tackle a wide range of projects focused on closing health gaps for vulnerable populations, such as improving medication adherence, increasing preventative screenings, and supporting members with chronic conditions in a holistic way. Your day-to-day will involve exploratory data analysis, descriptive analytics, and advanced predictive modeling, as well as designing and measuring experiments like A/B tests. You’ll collaborate closely with cross-functional teams, help identify and overcome project blockers, and may occasionally “quarterback” efforts to align stakeholders and move projects forward. Strong communication skills are essential, as you’ll regularly interface with non-technical partners to clarify needs and translate business problems into actionable analytics. Flexibility and adaptability are key, as project scopes and analytic maturity can vary. Experience managing projects is a plus, but the primary focus is hands-on technical support for a busy, collaborative team.