Senior Data Scientist
TranscarentAbout the role
Who we are
Transcarent is the One Place for health and care. We cut through the complexity, making it easy for people to access high-quality, affordable care. With a personalized app tailored for each Member, an on-demand care team, and a connected ecosystem of high-quality, in-person care and virtual point solutions, Transcarent eliminates the guesswork to confidently guide Members to the right level of care. We take accountability for results – offering at-risk pricing models and transparent impact reporting to align incentives towards measurably better experience, better health, and lower costs. At Transcarent, you will be part of a world-class team, supported by top tier investors like 7wireVentures and General Catalyst, and founded by a mission-driven team committed to transforming the health and care experience for all. We closed on our Series C funding in January 2022, raising our total funding to $298 million and enabling us to respond to the demand for our offering.
Transcarent is committed to growing and empowering a diverse and inclusive community within our company. We believe that a team with diverse lived experiences, working together will strengthen our organization, and our ability to deliver "not just better but different" experiences for our members.
We are looking for teammates to join us in building our company, culture, and Member experience who:
- Put people first, and make decisions with the Member’s best interests in mind
- Are active learners, constantly looking to improve and grow
- Are driven by our mission to measurably improve health and care each day
- Bring the energy needed to transform health and care, and move and adapt rapidly
- Are laser focused on delivering results for Members, and proactively problem solving to get there
What you'll do
The Senior Data Scientist will report to the Head of Data Science and work with other data scientist, medical coding specialists, solutions managers and digital marketing specialists. The Senior Data Scientist will be responsible for researching, creating and deploying machine learning algorithms used to identify and prioritize needs for various medical services and optimize outreach efforts to increase member engagement and utilization of medically appropriate services while decreasing churn and costs of acquisition.
The Senior Data Scientist should have familiarity and experience with medical codes including ICD-10, CPT, PCS, PII and PHI, in addition to non-medical data including SDoH, and digital marketing data. The Senior Data Scientist will also work with the Data Engineering and Product teams to develop robust pipelines for data acquisition and model deployment.
A successful candidate in this role will serve as an advocate for data science across the organization, helping business leaders understand data science capabilities, identify new use cases and promote a data-centric, evidence-based culture across the entire company. They will serve a key role within the Data Science organization, modeling best practices in agile project management, code development, review, testing, deployment and monitoring.
What we're looking for
- Strong focus on data-driven decision-making
- Ability to work with stakeholders to translate business needs into data science questions
- Strong problem solving skills and ability to identify new opportunities and methods
- Expert in Python and machine learning libraries including sklearn and tensorflow
- Strong experience in successfully deploying supervised, unsupervised and reinforcement learning models to production
- Expert in SQL and RDBMS best practices such as normalization
- Experience with no-SQL and semi-structured data
- Familiarity with MLOps frameworks
- Experience with data science platforms such as Snowflake, Databricks, Sagemaker, MLFlow, AWS EC2, S3 and Spark
- Expert in statistical techniques including hypothesis testing, experiment design and online learning
- Effective communication skills, including the ability to present information, write reports, and correspond with leaders, clients, customers, and the general public.
- Proficiency with GitHub and code versioning in production-based environments.
- Experience with healthcare data
Total Rewards
Individual compensation packages are based on a few different factors unique to each candidate, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal equity.
Salary is just one component of Transcarent's total package. All regular employees are also eligible for the corpora
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