Title: Chief Data Scientist

Department: Business Innovation & Data Solutions

Reports to: SVP, Basketball & Innovation

About Sports Info Solutions

Pioneers in the Sports Data Industry

SIS was founded on the belief that decision making in sports could be improved and that we could help teams win more games through the use of better data, analytics, and technology.

That belief has been validated repeatedly since our founding in 2002 as we continue to revolutionize the way the game is played, both on and off the field.

Company overview

Our mission is to enrich and optimize the decision-making process for sports teams, sportsbooks, and sports fans.

We are proud to be a leader in collecting, analyzing and distributing the deepest data sets and insights to professional sports teams across the MLB, NBA and NFL.

We are now doubling down on what’s made us successful by further advancing our data, technology, insights and partners as we drive forward the next innovations in Sports Data and Analytics.

Position overview

Sports Info Solutions (SIS) is looking for an innovative leader to revolutionize how we productize data: from our unique, sport-specific event capturing to league-wide Player Tracking solutions. We are hiring a Chief Data Scientist to lead the strategy and execution of our ambitious plans for developing groundbreaking data and consumer products that will transform the sports industry. SIS is launching a sport-agnostic Business Innovation & Data Solutions department reliant on a significant investment in Data Science, and the Chief Data Scientist will have full autonomy on building out their team and investing resources as they see fit.

As the newest member of our executive team, the person filling this position will also be relied upon to provide strategic insight as SIS becomes an even more prominent player in the sports data and technology ecosystem.

• This role is open to remote work

What you’ll do as Chief Data Scientist on the team at SIS:

Includes (but is not limited to):

• Implement a vision for how we will organize and attack our data science initiatives through an agile development infrastructure
• Responsible for the hiring and management of a high-functioning team composed of machine learning engineers, data scientists and independent contractors
• Oversee all machine learning and predictive model development
• Optimize the health of machine learning systems, including speed, model accuracy, reliability and performance
• Work with key stakeholders throughout the organization to identify opportunities for leveraging our unique datasets to drive better – and faster – solutions
• Assist in constructing near- and long-term strategy for our sport and gaming initiatives
• Provide ad-hoc analyses as requested by clients and investors

Why work with SIS?

We believe in making sports better through data, analysis and insights. For that reason, we have an incredible team of technologists, scouts, analysts, and operators helping our partners win more games.

It is our ultimate vision to create an unparalleled platform of sporting data and insights, through best-in-class technology, products and partnerships.

We believe in a flexible, energetic, enjoyable working environment where we band together as teammates to do great things. We are committed to creating a diverse environment, working in a collaborative, team-centric environment.

Qualifications

Required:

• Master’s Degree in Statistics, Computer Science, Data Science, Mathematics, Engineering, or related quantitative field; Doctoral Degree preferred
• At least 8 years of relevant experience building complex machine learning models
• At least 4 years in a data science leadership position
• Deep hands-on experience in open-source programming languages (Python or R) for large-scale data analysis
• Strong knowledge of data science technologies and machine learning concepts
• Experience developing models from research to proof-of-concept to a production pipeline
• Excellent problem-solving skills with the ability to think through complex concepts comprehensively and efficiently
• Ability to and willingness to learn and get better every day

Preferred:

• Familiarity with Machine Learning Operation (MLFlow, Domino Data Lab) and Computational Scaling platforms (Snowflake, AWS, Apache Spark)
• Experience or interest in Product Development
• Proficiency building Data Visualizations
• Experience with GIT version control software (GitHub, GitLab, Bitbucket)
• Understanding of advanced sports analytics concepts in Basketball, Baseball, and/or Football
• Passionate and knowledgeable about potential expansion into a sport or sports that SIS currently does not serve

EEO commitment

SIS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, national origin, age, veteran status, military status, disability, gender identity, sexual orientation, genetic information, or any other characteristic protected by law. In addition to federal law requirements, SIS complies with applicable state and local laws governing nondiscrimination in employment in every location where the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Abilities required

These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the job. Reasonable accommodation can be made to enable people with disabilities to perform the described essential functions of the job.

While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to sit and use their hands and fingers, to handle or feel. The employee is occasionally required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl. Vision abilities required by this job include close vision, including intensive computer usage.

Additional info

Sponsorship is not available for this position. Applicants must be currently authorized to work in the United States on a full-time basis.

Sports Info Solutions uses E-Verify and is an Equal Opportunity Employer.