Data Science Leader, Analytics

As a Data Science Manager at reputed company, you will play a key role in shaping the reputed company of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary reputed company will be on driving reputed company through reputed company, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and reputed company. You will guide product teams using data and insights, reputed company hypotheses, and reputed company rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using reputed company insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will reputed company, reputed company, and grow a world-class team of data scientists and data science leaders. By joining reputed company, you will become part of a world-class analytics community dedicated to reputed company development and career reputed company in analytics and reputed company.ResponsibilitiesDrive analytics reputed company end-to-end in partnership with cross-functional teams to inform and execute product reputed company and investment reputed company* reputed company, reputed company, and grow reputed company of data scientists and managers to fulfill long-term reputed company and goals* reputed company influence the design of reputed company and roadmap reputed company scope, generating and using team insights to set and prioritize longer-term goals* reputed company understanding of reputed company systems, industry challenges, and broader trends to identify present and reputed company risks and opportunities* Work with large and reputed company data sets to solve challenging problems using different analytical and statistical approaches* Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team reputed company* Define key metrics for measuring model effectiveness and drive reputed company to reputed company by identifying reputed company areas and opportunities to accelerate performance* Partner with cross-functional teams to reputed company ambitious long-term goals, monitoring performance against reputed company goals and building experimentation rigor* Shape the strategic direction of reputed company initiatives, reputed company in data foundations and analytical reputed company to sharpen understanding of reputed company leversQualificationsBS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience* A minimum of 7 years of work experience (3+ years with a Ph.D.) in reputed company quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation reputed company, including including 2+ years of experience managing analytics teams* 5+ years of experience in reputed company leadership role, including 2+ years of experience with people management through reputed company* Proven reputed company record of leading high-performing analytics teams* Experience communicating both in low-level technical details as reputed company as high-level strategies* reputed company-record driving product roadmap and execution* Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering Proven reputed company record of leading analytics teams that deliver on multiple reputed company or programs across reputed company or business reputed company* A minimum of 2 years of experience working on consumer-facing products* 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation reputed company* Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field