Recroom is Hiring Senior Data Scientist, Product Analytics
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Job Role and Responsibility
- Work closely with our designers and developers to understand what users are doing on the platform. Broadly communicate those findings to the immediate team and beyond.
- Define top-level business and team KPIs, establish learning agendas, measurement plans, and success metrics in close coordination with the product team.
- Work with teams to build a culture of goal setting and accountability.
- Drive changes to our product roadmap based on quantitative insights.
- Structure thoughtfully designed A/B tests and up-level broader team through rigorous understanding of test results.
- Contribute as needed to improve overall infrastructure – including building pipelines, data documentation, and dashboarding.
- Work with the ML team as needed to develop novel features and understand performance.
Skills Required that will help succeed
- 5+ years of product analytics experience, with a proven track record of deriving insights that lead to product changes
- A Bachelor’s or Masters in Math, CS, or related field
- Significant expertise in experimentation methodologies
- Very strong knowledge of SQL
- Experience with Python or R is a plus
- Experience with manipulating and analyzing complex, high-volume data
- A constant desire to learn, improve, and help others improve
- Effective communicator with the ability to distill complex concepts into easily digestible insights
Recruitment Details
| Company Name | recroom |
| Company Website | https://www.recroom.com |
| Job Role | Senior Data Scientist, Product Analytics |
| Job qualification | BACHELOR OF ENGINEERING |
| Work Experience | 5 years |
| Salary | Best of Industry |
| Job Location | Vancouver |
What is the role of a Senior Data Scientist, Product Analytics at Recroom?
The Senior Data Scientist, Product Analytics at Recroom plays a key role in leveraging data to gain insights into user behavior, product performance, and other relevant metrics. They are responsible for using advanced analytics to inform product development and strategy.
What qualifications are required for this position?
Ideal candidates should have a strong background in data science, with a focus on product analytics. This includes expertise in statistical analysis, data modeling, and experience with tools such as Python, R, or other relevant programming languages. Additionally, a solid understanding of the gaming industry and user behavior is beneficial.
What responsibilities come with this role?
The Senior Data Scientist will be responsible for analyzing large datasets, extracting meaningful insights, and presenting findings to inform decision-making processes. They will collaborate with cross-functional teams, contribute to product strategy, and work on projects aimed at enhancing the overall user experience.
