Product Scientist/Manager
Remote
We are not actively hiring. This job post is to submit your resume off-cycle.
Thank you for your interest in Zelus Analytics. We are always inspired to hear of individuals who are as passionate about sports analytics as we are! Even when we are not in a specific hiring cycle, we welcome folks who are pursuing a career as a product scientist or product manager in sports analytics to submit their resume for future consideration!
We seek product scientists and product managers with a passion for sports to extend and enhance the capabilities of our world-class sports analytics platforms. Through your work, you can support the professional teams in our exclusive partner network in their efforts to compete and win championships.
Zelus Analytics unites a fast-growing startup environment with a research-focused culture that embraces our core values of integrity, innovation, and inclusion. We pride ourselves on providing meaningful mentorship that offers our team the opportunity to develop and expand their skill sets while also engaging with the broader analytics community. In so doing, we hope to create a new path for a broader group of highly talented people to push the cutting edge of sports analytics.
We believe that a diverse team is vital to building the world’s best sports intelligence platform. Thus, we strongly encourage you to apply if you identify with any marginalized community across race, ethnicity, gender, sexual orientation, veteran status, or disability. At Zelus, we are committed to creating an inclusive environment where all of our employees are enabled and empowered to succeed and thrive.
As a Zelus Product Scientist, you will be expected to:
- Recommend improvements to existing platform capabilities, including providing supporting analyses to justify task prioritization
- Lead group discussions and collaborate with data scientists and engineers to design, review, and execute validation plans for new and enhanced platform capabilities
- Identify risks for the platform roadmap, and ensure the team is performing at a high level
- Develop internal capabilities for analyzing, visualizing, and reporting model results
- Prepare analyses and reports in response to ad-hoc requests from our partner clubs
- Perform data modeling and quantitative analysis to support one or more research projects focused on player and team performance
- Follow broader sports analytics trends by attending conferences, reviewing literature, and remaining informed about player and team performance
- Collaborate and communicate effectively …
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Benefits/PerksInclusive environment Mentorship Opportunity for skill development
Tasks- Collaborate with data scientists
- Identify risks
Collaboration Communication Data Modeling Data Visualization Machine Learning Optimization Platform Development Project Management Python Quantitative analysis R Relational databases Reporting Risk Identification Simulation Statistics