Remote Data Scientist

Summary

Join Zelus Analytics as a Data Scientist to implement, automate, and optimize quantitative models for sports intelligence platforms in various sports. As a member of the team, you will support professional teams in their efforts to compete and win championships. We welcome candidates with a passion for sports analytics and a wide range of experience levels.

Requirements

• 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

Responsibilities

• 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
• 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

Preferred Qualifications

• 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

Benefits

• Competitive salaries
• Equity
• Annual incentive bonus plan
• Flexible PTO