Data Scientist - Off-cycle
August 1, 2023
🏡 Remote – New York
Description
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
Requirements
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
Benefits
• Competitive salaries • Equity • Annual incentive bonus plan • Flexible PTO • Fully distributed workforce • Equal opportunity employer • Reasonable accommodations for applicants and employees with disabilities
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