Manager - Data Science

Major Activities

• Strategic Thought Partnership
• Design and execute analytics projects to quantify impact from various marketing campaigns
• Identify growth opportunities for the business leveraging innovation and advanced analytical techniques
• Work with business partners to identify the challenges that need to be quantified
• Act as subject matter expert for all projects in which involved
• Mine extensive database in support of business insights and measurement
• Develop well-thought, actionable insights using advanced analytics techniques
• Determine best approach for each analysis and articulate pros/cons of methodology
• Ensure quality of data used in analysis and all presentation material
• Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
• Automate standard deliverables and reduce repetitive processes for self and team

Business Insights & Cross Functional Partnerships

• Manage internal client relationships and serve as the SME for analytics within the CRM function
• Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
• Provide strategic recommendations based on analyses tied to the organization’s goals that will drive business results
• Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline

Innovation & Technology

• Lead innovation in data science methodologies and tools, staying abreast of industry developments and proactively exploring opportunities to advance organizational capabilities and maintain a competitive edge
• Implement cutting-edge tools and best practices to enhance analytics capabilities

Staff Management & Development

• Manage a team of data scientists
• Mentor analysts regarding analytics best practices, methodologies, and programming techniques
• Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement

Minimum Knowledge/Skills/Abilities

• Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
• Proven track record of using data to provide actionable business results

Minimum Education

• Bachelor’s degree in relevant quantitative field required, Master’s preferred

Minimum Special Certifications Or Technical Skills

• Or Technical Skills

Minimum Type Of Experience

• The Job Requires A minimum of 5 years of relevant work experience in data science for a consumer centric company
• Proven experience partnering with business decision makers on advanced analytics topics
• Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts