Manager of Data Science

About the role

The Manager of Data Science is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizes resources, partners with project teams and business partners, and supports problem-solving efforts.

Responsibilities

• Deliver business impact by deploying Data Science to improve core functions, including, but not limited to marketing, pricing, labor, inventory, etc.
• Measure the impact from analytical solutions across strategic initiatives and effectively communicate results
• Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts
• Deliver productionized models and tools using Agile (including data processing, scripting, modeling, measurement, error handling, and documentation)
• Prioritize and assign projects based on business use cases by striking a balance between effort and value return
• Effectively develop trust and collaboration with internal customers and cross-functional teams
• People management and leadership of the Data Science team including attracting, retaining, and developing top talent to build an effective and high-performing team
• Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress
• Develop onboarding and training plan for both technical and soft skills that will ensure high-level capabilities within the team
• Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles
• Seek further knowledge on key developments within data science, technical skill sets, and additional data sources
• Participate in the continuous improvement of analytics by developing replicable solutions (e.g., codified data products, project documentation, flowcharts) to ensure solutions are leveraged for future projects
• Ensure best practices and vision for data analysis and model productionalization are leveraged
• Utilizing statistical techniques to identify key insights that help solve business problems including mastery in predictive modeling, data mining and data analysis
• Support vendor discussions and negotiations as needed.

Qualifications

• Bachelor’s degree or graduate degree, in a quantitative field like Computer Science, Statistics, Engineering, Science, or Mathematics
• 6 to 8 years of related experience, including 2 years leading a team