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Binance

Vancouver, Canada

Senior Manager Product Data Science

Binance
ON Toronto, Ontario, Canada
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Objectives and Expectations



    • 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
    • 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 modelling) 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.