Senior Manager, Data Science - Online

About the role

The Senior Manager, Data Science leads a team of data scientists (individual contributors, technical experts and people managers) so that their work drives business profitability, greater efficiency and a better customer experience. The role balances ongoing data science research and learning with business needs, provides executive summaries to all levels of the organization and helps align strategies and manage talent across Data Science Managers. It reports to a Director or above and includes direct reports.

Key responsibilities

• People management and team leadership (about 50%): mentor and coach direct reports, support the Data Science Director's vision, attract and develop talent, build onboarding and training plans, foster collaboration and ensure best practices are used.
• Program management (about 15%): prioritize and assign projects, manage programs for consistent execution and quality, act as escalation point and give executive updates on program effectiveness and findings.
• Strategy and business development (about 25%): use business knowledge and relationships to find new opportunities, build trust with internal customers and collaborate with other data science managers on strategy and talent.
• Technical exploration and development (about 10%): follow key developments in data science, improve analytics by creating replicable solutions such as codified data products and documentation, and promote best practices in model production.

Required profile

• Ages 18 or older and legally permitted to work in the United States.
• Demonstrated experience translating high-level strategy into tactical execution.
• Preferred: 11+ years of experience in business intelligence and analytics, previous people or project team management experience, and a bachelor's degree or equivalent.

Required skills

• Proficiency in predictive modeling, data mining and data analysis.
• Ability to guide junior team members through data science fundamentals.
• Preferred: querying data with Google BigQuery or SQL, data visualization with Tableau, statistical techniques, prescriptive modeling (optimization, computer vision, recommendation, search or NLP).