Lead Data Scientist - San Mateo


Fanatics, Inc.

2018-11-29 19:42:13

Job location San Mateo, California, United States

Job type: fulltime

Job industry: Community & Sport

Job description


Job description
We are looking for someone 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 and mentor a team of data scientist
  • 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


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