Data Science Manager

Key Skills

Big Data Technology, Data science techniques, Data Visualization, Design, Leadership Skill, Marketing Strategy, Python Programming, R Programming, SQL, Statistics, Tableau

Job Description

• Partner with Marketing leadership in strategy development, goal setting and budget planning
• Perform analyses on large sets of data to extract actionable insights that will drive decisions around our global marketing investments
• Provide end-to-end campaign support, from goal setting and measurement plan development, to in-campaign performance insights and optimization recommendations, and post-campaign evaluation and recommendations
• Define experimentation roadmap to identify new growth opportunities for our marketing investments
• Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and presentations
• Lead a small team of Data Scientists and Analytics Engineers in MCI’s pursuit of becoming a world leading insights team for our marketing partners
• Partner with the other MCI leads and their teams on projects supporting Spotify’s broader marketing organization
• Lead cross-functional groups of insights professionals (think market researchers, analysts, product insights) to triangulate information across various sources

Who you are

• Intellectually curious, open-minded, and enjoy working in a fast changing environment
• A natural communicator, who focuses just as much on the delivery and the “so what” of your insights, as you do on the technical craft of extracting them
• Effective at building strong, influential relationships with colleagues and partners, with demonstrated success in delivering impactful insights to executives
• 10+ years of experience in an analytics and/or data science role, with 2+ years as a direct people manager 
• Strong analytical skills, including analysis and modeling of big data using SQL, Python and/or R, statistics, A/B testing, and experimental design required
• Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)
• Comfortable working on a globally distributed team