Senior Manager, Data Science

Summary

Join Cohere Health's Data Science Team as a leader, leveraging your expertise to translate complex business problems into impactful data-driven solutions. You will lead a team of data scientists and analysts, mentor staff, and collaborate with cross-functional partners. This role requires extensive experience in data science, machine learning, and team management within the healthcare industry. You will be responsible for the end-to-end applied research process, from problem articulation to solution design and implementation. Cohere Health offers a competitive salary, benefits package, and a supportive, growth-oriented environment. The ideal candidate possesses strong leadership, communication, and technical skills, with a proven track record of building and scaling data science teams.

Requirements

• 5+ years of hands on management experience in healthcare industry
• 7+ years of experience in data science and/or machine learning, with at least 3 years of management experience hiring and developing teams
• Advance degree (MS or Ph.D.) in a quantitative field, Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, Data Science
• Solid understanding and experience in machine learning algorithms, statistics, pattern recognition, classification, and data mining models
• Strong software development skills with proficiency in Python and Spark. Experienced user of ML and data science libraries
• Proven track record in building and scaling data science teams, including recruitment, mentoring, and performance management
• Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning and data science model knowledge to digestible information for non-technical audiences
• Expertise in translating complex business problems into end-to-end data science products with a quantifiable business impact

Responsibilities

• Provide thought leadership & strategic thinking to translate business problems into analytical frameworks, and independently recommend actions and provide business insights
• Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
• Establish and maintain effective performance tracking; identify product and program improvement opportunities, form hypotheses, propose, design and implement tests to drive enhancement and optimization
• Lead a team of data scientists and analysts to execute multiple projects at any given time, utilizing different analytical skill sets where applicable
• Foster a collaborative and innovative culture, set clear goals, mentor staff
• Establish best practices and coach junior members to develop and execute advanced analytics with scalability and reusability in minds
• Communicate data science concepts, project results, and actionable insights to senior leadership and non-technical stakeholders

Benefits

• Health insurance
• 401k
• Bonus