Data Scientist

The Role: 

Carrot is seeking a  Data Scientist to join our rapidly growing Data team. This role involves designing and implementing advanced diagnostic, predictive, and prescriptive models, leading data analysis projects, and mentoring junior team members. Success in this role means developing robust data-driven solutions, ensuring data quality, and proactively collaborating with cross-functional teams while taking initiative to drive projects and tasks forward independently. This position is exciting as it offers the opportunity to work with extensive healthcare, financial, and product/platform data, applying advanced statistical methodologies and machine learning techniques to drive positive member outcomes. The primary goal is to strategically engage members to foster meaningful interactions, thereby driving impactful and measurable outcomes that align with and enhance Carrot’s value proposition.

The Team: 

The Data team sits within the Product Organization and is a highly cross-functional team that is central to Carrot’s long-term success. Led by the Senior Director, Analytics & Business Intelligence, this role is part of the Data Science function, which sits alongside our Data Engineering and Business Intelligence functions. The Data Science function primarily supports our Customer Success, Commercial Sales, and Strategy (Research/Outcomes) teams, producing data to support the sales team and leveraging work alongside the strategy team to provide data-driven insights for ongoing customers, effectively serving both prospective and existing customers with our value story end-to-end.

Minimum Qualifications: 

• Master's degree in Data Science, Statistics, Computer Science, Health Informatics, Actuarial Science, Economics, or a related field. A Bachelor's degree with extensive relevant experience will also be considered.
• 5+ years of experience in data science or related roles, with a strong background in healthcare analytics.
• Advanced proficiency in SQL, Python, leveraging cloud-based data platforms (Snowflake, AWS, Azure) and machine learning frameworks, as well as statistical modeling techniques and tools like R or SAS.
• Familiarity with data science libraries and tools such as NumPy, pandas, and scikit-learn.
• Strong experience with data visualization tools (DOMO, Tableau, PowerBI, etc.).
• Excellent problem-solving and analytical skills, with the ability to independently conceive, implement, and drive projects and proactively address challenges.
• Demonstrated ability to thrive in a fast-paced, high-growth environment, balancing large-scale projects with ad-hoc requests and support tasks.
• Proven ability to interface with and communicate complex technical concepts to technical and non-technical audiences, including customers, consultants, senior leadership, and executives.
• Experience working with healthcare data, including medical and pharmacy claims, EHR/EMR, and clinical records. Clear understanding of coding standards and classifications (ICD, CPT, HCPCS, DRG, etc.) 
• Understanding of healthcare regulations and standards, such as HIPAA, including de-identification methodologies and minimum sample size requirements for both de-identification and statistical significance testing.

Preferred Qualifications:

• Strong project management skills, including the ability to handle multiple large-scale projects simultaneously, develop project and data science initiatives roadmaps, and deliver high-quality documentation and training materials. 
• Ability to manage commitments and deliverables, and align projects and tasks with strategic objectives.
• Demonstrated experience with dbt (data build tool) for data transformation and version control systems like Git, including developing and maintaining CI/CD pipelines to ensure robust and efficient data workflows.
• Experience with healthcare-specific data standards and interoperability frameworks (e.g., HL7, FHIR).
• Understanding of value-based care models and healthcare economics.
• Experience in identifying, extracting, and integrating data from diverse sources using advanced data extraction, OCR, NLP, and web scraping technologies, ensuring comprehensive and robust datasets for analysis.
• Experience in developing and implementing advanced predictive and prescriptive models using advanced machine learning techniques to solve healthcare problems.
• Experience leading AI-enabled initiatives, such as automating routine tasks, extracting insights from large datasets, and deploying AI models for business process improvements and solutions.
• Familiarity with Snowflake, leveraging its advanced AI/ML capabilities such as Snowflake's Data Science Workbench Cortex, and Snowpark to drive innovative data analytics and machine learning projects in healthcare.
• Familiarity with additional programming languages such as Java, Scala, or C++.

Compensation: 

Carrot offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work, including health and wellness benefits, retirement savings plans, short- and long-term incentives, parental leave, family-forming assistance, and a competitive compensation package. The expected base salary for this position will range from $140,000- $160,000. Actual compensation may vary from posted base salary depending on your confirmed job-related skills and experience.