Data Scientist

About Carrot:

Carrot Fertility is the leading global fertility and family-building platform providing care for everyone, everywhere. Trusted by more than a thousand multinational employers, health plans, and health systems, Carrot's comprehensive clinical program delivers industry-leading cost savings for employers and award-winning experiences for millions of people worldwide. From maternity through menopause and pre-pregnancy through parenting, Carrot is dedicated to expanding access and improving outcomes. Carrot empowers members with compassionate, personalized, and inclusive support.

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 …