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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Toronto, Canada |
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Binance | Toronto, Canada |
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Binance | Toronto, Canada |
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Binance | Toronto, Canada |
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| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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Horizon Blockchain Games | Toronto, Canada | $90k - $120k | |||
Horizon Blockchain Games | Toronto, Canada | $90k - $93k | |||
Horizon Blockchain Games | Toronto, Canada | $81k - $100k | |||
Horizon Blockchain Games | Toronto, Canada | $120k - $150k |
Binance
This job is closed
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.