Lead Data Scientist

Summary

Join HealthJoy's Data Team as a key member driving high growth and impact. Lead data science initiatives to inform strategy, product roadmap, and member engagement. Analyze utilization, outcomes, and claims data to quantify HealthJoy's impact. Support research, development, and maintenance of data pipelines and models. Manage and mentor data science team members. Collaborate with stakeholders to identify data needs and drive projects. Translate business requirements into data-backed strategies. Advocate for data literacy and foster collaboration. Support development of the data science roadmap. HealthJoy offers a competitive salary ($150,000-$180,000 annually) and a comprehensive benefits package.

Requirements

• 7+ years of professional experience in data science, with a strong track record in data analysis and model development
• 5+ years of work experience working with SQL, R, and/or Python to query, manipulate, and analyze data
• Demonstrated leadership in managing complex technical projects, with a record of influencing project scope and elevating the quality of team deliverables
• Proficiency in analyzing healthcare data, particularly claims files, and structuring outcomes analyses to document the impact of care intervention
• Strong analytical skills with a detail-oriented approach to validating results and ensuring data integrity
• Proven ability to design key performance metrics and guide business decisions through data-driven insights
• Excellent communication skills, both written and verbal, with the ability to effectively convey technical concepts to both technical teams and business stakeholders
• Experience as a lead and a passion for mentoring and developing junior team members

Responsibilities

• Lead planning and execution of HealthJoy’s data science initiatives in order to inform steerage strategy, product roadmap, and member engagement
• Analyze utilization, outcomes, and claims data in order to quantify HealthJoy’s impact at the client, broker, and book of business level
• Support and leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses
• Manage and mentor members of the data science team, overseeing priorities and deliverables
• Work closely with stakeholders from departments like Customer Success, Engineering, Finance, and Marketing to identify data needs, provide insights, and drive projects that deliver real business impact
• Translate complex business requirements into a bold strategy backed by data, and inspire a cross-functional team to bring them to life
• Advocate for data literacy and foster collaboration among data and business teams to cultivate a culture grounded in data-driven decision-making
• Support the development of the data science roadmap and introduce new capabilities that enhance the team's ability to generate meaningful insights and deliver value

Benefits

• Medical, Dental and vision insurance packages
• HSA contribution match
• Stock options for eligible roles
• 401k match
• Paid parental leave
• Company sponsored Short Term and Long Term Disability coverage
• Flexible PTO