Data Scientist (Offcycle)

We are not actively hiring. This job post is to submit your resume offcycle.

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 Data Scientist in sports analytics to submit their resume for future consideration!

We seek data scientists with a passion for sports to implement, automate, and optimize the quantitative models that power our world-class sports intelligence platforms in baseball, basketball, cricket, football (American), hockey, soccer, and tennis. Through your work, you can support the professional teams in our exclusive partner network in their efforts to compete and win championships. We often have both entry-level and senior positions available, allowing us to consider qualified candidates with a wide range of experience levels.

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 doing so, we hope to create a new path for a more diverse 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 Data Scientist, you will be expected to:

• Perform data modeling and quantitative analysis to support one or more research projects focused on player and team performance
• Develop, validate, and automate quantitative models using statistics, machine learning, optimization, and simulation
• Collaborate with our engineering team to define and implement model productionalization and platform release plans
• Prepare detailed, customer-facing reports describing model selection, model specification, and fitting techniques
• Attend conferences and review public literature to develop and expand your analytical skills
• Perform ad-hoc data analysis to support our partner teams
• Collaborate and communicate effectively in a distributed work environment
• Fulfill other related duties and responsibilities

In addition to the above, a Senior Data Scientist will be expected to:

• Identify and recommend new research opportunities and modeling approaches to push the cutting edge of our sports intelligence platforms
• Provide guidance and technical mentorship for junior data scientists 
• Effectively communicate and explain complex technical concepts, both to internal and external audiences
• Assist with recruiting and outreach for the data science team, including building a diverse network of future candidates

A qualified entry-level candidate will be able to demonstrate several of the following and will be excited to learn the rest through the mentorship provided at Zelus:

• Academic, industry, and/or research experience with applied mathematical and predictive modeling (statistics, machine learning, optimization, and/or simulation)
• Experience working with large, complex datasets, including through academic research, self-directed projects, and/or prior internships
• Fluency with mathematical and statistical programming (Python and/or R)
• Proficiency with relational databases and cloud-based computing
• Enthusiasm for sports analytics and knowledge of recent public advances in the sports analytics research community
• Strong written and verbal communication skills

A qualified senior candidate will be able to demonstrate all of the above at a higher level of competency plus the following:

• Advanced training in applied mathematics, statistics, computer science, operations research, or a related quantitative field
• Expertise in one or more methodological areas or scientific domains that would extend the capabilities of the Zelus data science team
• Experience defining and executing a research plan to progress complex and/or exploratory data science projects
• Desire and ability to successfully mentor junior data scientists

Zelus has a fully distributed workforce, spanning thirteen states and seven countries as of the end of 2022. In addition to competitive salaries, our compensation packages include equity and benefits, such as an annual incentive bonus plan and flexible PTO, that allow us to attract and retain a world-class team.

As an equal opportunity employer, Zelus does not discriminate on the basis of race, ethnicity, color, religion, creed, gender, gender expression or identification, sexual orientation, marital status, age, national origin, disability, genetic information, military status, or any other characteristic protected by law. It is our policy to provide reasonable accommodations for applicants and employees with disabilities. Please let us know if reasonable accommodation is needed to participate in the job application or interview process.

Zelus is an at-will employer; employment at Zelus is for an indefinite period of time and is subject to termination by the employer or the employee at any time, with or without cause or notice.

Pay: $75,000.00 - $150,000.00 per year