Binance is hiring a
Web3 Manager, Product Data Science

Location: ON Toronto, Ontario, Canada


As our Manager, Product Data Science, you will be embedded into the Product organization, working with and supporting the different product teams on a day-to-day basis. The ideal candidate is a self-starter with a solid foundation in data science and experience in product data analytics. You are not only strong in execution and delivery, but also comfortable managing strategy, planning and a team.



Responsibilities:

  • Build and execute an effective strategy and roadmap for the Product Data Team
  • Develop and foster a rigorous data-driven culture within Product Analytics and across the broader Product community by being the Data Leader in the Product team
  • Conduct and oversee research and deep dive data analysis to prioritize production efforts and growth opportunities; leverage insights to develop data-driven business cases to inform and influence product strategy & roadmap to maximize the product KPIs
  • Define, measure and consistently track health, technical, growth and monetization metrics for the product
  • Define and ensure the implementation of all the necessary tracking and AB testing for all the features and aspects of the product
  • Collaborate with other teams like marketing and risk to ensure growth and success of the product
  • Provide technical leadership to the rest of the Product Analytics team and drive execution to measure the effect of marketing efforts
  • Design and build tools for the Product team that help in automating processes and facilitating smart decision making
  • Conceptualize and prototype machine learning models to improve engagement and monetization KPIs
  • Recruit, manage, and mentor a team of motivated Product data scientists/analysts.


Requirements:

  • 5+ years prior experience in Product and 5+ years in Data Science/Analytics
  • 5+ years of experience at a tech company
  • 2+ years of people management experience
  • Fluency with SQL and expertise with R or Python
  • Experience with designing and developing compelling data visualizations and dashboards
  • Excellent product sense from growth point of view and deep knowledge of the product data science/analytics needsKnowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modeling) and experimentation (e.g. A/B testing) in a tech product setting
  • Excellent communication and presentation skills
  • Ability to translate complex data into actionable insights for a non-technical audience
  • Proactive and autonomous
  • Experience with Machine Learning Analytics/Prototyping is a plus
  • Good understanding of statistics is a plus
  • Experience in recruiting data scientists/analysts is a plus.

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Location: ON Toronto, Ontario, Canada

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Benefits: Medical Insurance


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