Company Overview:
b.well is transforming how healthcare consumers find and receive care in a personalized, convenient, and affordable manner. Partnering with our customers (health systems, insurance payors, pharmacies, and employers), we empower consumers to make informed choices about their family’s health using our data platform and our mobile apps.
We are seeking a talented Data Scientist with a strong background in data engineering or MLOps to join our dynamic team. This position offers the opportunity to work on cutting-edge data science projects that have a direct impact on healthcare delivery.
This position is available for fully remote work.
Job Description:
As a Data Scientist with a background in data engineering or MLOps, you will play a crucial role in developing and deploying advanced data models to enhance healthcare data analysis. By leveraging your expertise in Python, PySpark, and data engineering principles, you will collaborate with our team to ensure the successful deployment and maintenance of models in production environments. Your work will contribute to the improvement of risk modeling, recommendation systems, and other key areas in healthcare data analytics.
Key Responsibilities:
- Utilize Python and PySpark for data analysis and modeling
- Develop and deploy supervised learning techniques, risk modeling, recommender systems, AB testing, NLP, and LLMs
- Implement MLOps practices to streamline model deployment and monitoring
- Collaborate with the team to optimize and fine-tune data models for improved accuracy and performance
- Work with healthcare data and privacy regulations to ensure compliance
- Collaborate with the Data Science team to implement data engineering best practices
Requirements:
- Proficiency in Python and PySpark for data analysis and modeling
- Strong foundation in supervised learning techniques, risk modeling, recommender systems, AB testing, NLP, and LLMs
- Understanding of data engineering principles and MLOps practices
- Experience with the Databricks platform for data processing and optimization (preferred)
- Familiarity with healthcare data and privacy regulations (preferred)
Join our team and be part of a transformative journey in healthcare data analytics. If you are passionate about leveraging data science to drive positive change in the healthcare industry, we encourage you to apply.
The target salary range for this position is $153,000 - $190,000 and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Data shows that women, people of color, and other underrepresented groups may be less likely to apply for jobs unless they believe they are a perfect match. But b.well holds diversity amongst its key values, and we have a strong commitment to building our workforce and products through that lens.
You don't have to check every box in this job description to be a great fit for the role! If you're excited about this position and the prospect of working for b.well, please apply. If it turns out this role isn't for you, there may be other openings that could align with your experience and expertise!
We are committed to an inclusive and diverse b.well. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.
Pay Range: $153,000 - $190,000 per year
