Data Scientist, Chartis
HealthScape Payer Transformation
$86.5-100k
May be eligible for an annual discretionary bonus
Advisory services for the healthcare industry
Be an early applicant
Advisory services for the healthcare industry
501-1000 employees
Be an early applicant
$86.5-100k
May be eligible for an annual discretionary bonus
501-1000 employees
Company mission
To improve healthcare and address critical industry priorities like health equity, practitioner burnout, and rural health.
Role
Who you are
- 3-5 years of data science experience in healthcare or related industry
- Bachelor’s Degree required in a quantitative or technology-related field of study (e.g., Business, Mathematics, Economics, Statistics, Data Science, Analytics, or Informatics)
- Strong programming experience developing and delivering analytics with languages and tools such as SQL, Python, Snowpark, dbt, Jupyter Notebooks, R, and Git
- Previous experience in the application of advanced analytic techniques and the development, training, testing, and deployment of data science models leveraging standard practices and version control tools (e.g., GitHub, BitBucket)
- Previous experience with cloud data warehouse technologies such as Snowflake, Databricks, Redshift, or Big Query. We are a Snowflake shop and Snowflake experience is greatly preferred
- Visualization development expertise (e.g., Tableau, PowerBI)
- Strong analytic skills, including ability to apply quantitative and statistical analysis techniques, such as hypothesis testing, clustering, regression modeling, random forest, and gradient boosting techniques, among others, to unstructured problems
- Strong interpersonal and communication skills – possessing the ability to communicate and deliver complex analytics information to clients and executive audiences
- Enthusiasm to navigate and continue learning in an entrepreneurial environment
What the job involves
- Data Scientists play an exciting role in maturing HealthScape’s analytics expertise by helping develop cutting-edge capabilities and creating actionable insights for our healthcare clients
- This role is a key player in developing, testing, and scaling new and innovative data science solutions that directly impact our health plan clients and their customers
- Support clients through consulting engagements in key analytic activities such as defining data needs, evaluating data quality, designing and testing models and algorithms, and sharing analysis outputs
- Collect, parse, manage, analyze, and visualize large and disparate datasets using existing analytic infrastructure to identify trends and discover opportunities for change
- Participate in the design and development of data-driven solutions, leveraging appropriate modeling techniques informed by a thorough understanding of industry dynamics, client challenges, and underlying hypotheses
- Use advanced analytics across multiple engagements/projects, leading model and algorithm development, as well as modular code development, maintenance, and improvement, while leveraging version control tools such as Bitbucket
- Participate in concept design, requirements definition, model development, testing, and deployment of data science solutions into production
- Perform validation of the source data and necessary data wrangling to ensure the quality and alignment of the data as required to meet the data science project goals
- Apply knowledge of data science concepts and modeling techniques, including linear regression, Tree-based methods, K-Nearest Neighbors (KNN), ensemble methods, and clustering, to develop and deploy machine learning solutions independently or with minimal oversight
- Support the ongoing development of new technologies and data science capabilities, including Generative-AI driven Natural Language Processing (NLP) and the creation of AI agents and chatbots to deliver impactful, data-driven healthcare solutions
- Create clear, compelling narratives to communicate key outcomes, trends, and patterns identified in the data to internal and external clients, leveraging data visualization techniques to enhance storytelling and effectively convey insights clearly and concisely
- Contribute in the growth of our data and analytics-focused culture across HealthScape through knowledge sharing, cross-functional training, and mentorship
Our take
Chartis is a healthcare consultancy group that works with providers, payers, investors, technology and retail companies. It helps these organisations to devise strategies and operating models that contribute to reshaping healthcare for the better.
The company addresses challenges surrounding financial sustainability, digital transformation, health equity and value-based care. With more than 2 decades of experience consulting for US healthcare services, Chartis has managed to keep pace with digital innovations and emerging problems.
Part of this ability stems from a series of acquisitions including that of healthcare payment company Healthscape and medical staff transformation service Greeley. As digitisation within the healthcare industry accelerates, Chartis has grown and evolved, and its 2024 majority investment from Blackstone will help to maintain this pace of growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company HQ
River North, Chicago, IL
Leadership
Ken Graboys
(CEO)Previously Senior Partner at CSC Healthcare/APM, Consultant at Telesis and was an Aid Worker for the Peace Corp in the mid-80s.
Ethan Arnold
(Managing Director)Previously Partner at CSC Healthcare / APM and was a consultant at Coopers & Lybrand Consulting for helathcare.
Christopher Regan
(Managing Director)Previously a Director at APM Incorporated.
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