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Senior Manager/Director for Data Science
Fanatics
San Mateo, CA, United States
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Job description
We are looking for a Senior Manager/Director for Data Science who is passionate about leading a team of data scientists to apply machine learning and statistics techniques to solve business problems. You will collaborate closely with engineering teams, PMs, cross functional business units and address a wide range of challenging problems using techniques from applied statistics, machine learning and/or data mining fields.
Key problem areas include the following:
Product Recommendation and Personalization
providing personalized product recommendations and user experience for sports fans in e-commerce sites as well as on emails.
Inventory optimization: forecasting demand and optimizing the quantity and location of inventory.
Product Search and Ranking: developing ranking schemes for products in online search and site landing pages to optimize site experience.
Pricing and promotions: models and algorithms for relevant pricing and promotions for products and customers over time.
Responsibilities
Recruit new talent, grow, motivate, mentor, and manage a team of data scientists
Define the research vision for data science, and oversee planning, resources, and prioritization to make sure the team is advancing that roadmap.
Deliver on concrete work that advances that roadmap.
Help develop and test predictive algorithms to be implemented as part of internal tools and customer facing applications such as product search, personalization, CRM Build solutions all the way from research to delivery on a large scale production system, collaborating along the way with other data engineering and product teams.
Qualifications
Professional experience as a data science leader, setting the vision for how to most effectively use data in organization, either through technical leadership as an IC with ownership over a research agenda, or developing a team as a personnel manager in a new area.
Expert-level experience with a wide range of quantitative methods that can be applied to business problems, including personalization, product search, product recommendations, fraud, inventory forecasting.
Strong algorithmic thinking and passion for empirical research to answer hard questions.
Excellent written and verbal communication skills on quantitative topics for a variety of audiences with ability to communicate complex quantitative analysis, analytic approaches and findings in a clear, precise, and actionable manner.
Expertise in designing and evaluating A/B experiments for new algorithms and monitoring key performance metrics, share the results with a wide audience.
Overall 10+ years of industry experience in data science and machine learning with few years of experience leading and managing data science projects and teams.
Bachelor’s or Master’s degree is required ( PhD preferred) in relevant fields such as Statistics, Machine Learning, Computer Science with Artificial Intelligence focus is preferred.