Recroom is Hiring Senior Data Scientist, Product Analytics
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As we expand our operations, our Product Data Scientists will seamlessly integrate into specialized teams. In your role as the Senior Product Data Scientist, your responsibility extends beyond individual contributions. You are tasked with elevating product-centric perspectives across the entire team and providing guidance to fellow data scientists as required. Your influence may involve collaborating with the economic team to strategize the scalable growth of the buyer and builder ecosystem. Simultaneously, you could be assisting the growth team in conceptualizing methods to enhance user engagement and encourage regular app returns.
Furthermore, your expertise may be enlisted by the User Generated Content team to explore ways to empower creators in crafting superior products. Alternatively, the Social team may seek your insights on enhancing a player’s experience, making it more profound and meaningful. The scope of questions and the potential for your impact are vast, reflecting the dynamic nature of this role and the exciting challenges that lie ahead.
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 |
| Job qualification | BACHELOR OF ENGINEERING |
| Work Experience | 5 years |
| Salary | Best of Industry |
| Job Location | United States |
What does a Senior Data Scientist, Product Analytics at Recroom do?
A Senior Data Scientist, Product Analytics at Rec Room is responsible for analyzing user behavior data, conducting product experiments, and providing insights to optimize the user experience and drive business growth within the gaming platform.
What are the primary responsibilities of this role?
Primary responsibilities may include analyzing user engagement metrics, conducting A/B tests, developing predictive models, identifying opportunities for product improvements, and collaborating with cross-functional teams to implement data-driven solutions.
What skills are important for success in this role?
Important skills include proficiency in data analysis and visualization, knowledge of statistical techniques and experimental design, experience with A/B testing methodologies, collaboration with product managers and engineers, and the ability to translate data insights into actionable recommendations.
How does one apply for a position as a Senior Data Scientist, Product Analytics at Rec Room in the United States?
Interested candidates can usually apply through the Rec Room careers website or other job posting platforms. The application process typically involves submitting a resume, completing technical assessments, and participating in interviews with hiring managers and technical team members.
