Manager, Data Science

Remote - New York

Applications have closed

Fanatics Inc

Fanatics offers the broadest assortment of fan merchandise and memorabilia worldwide.

View company page

Company Overview Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem. The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs. As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives. At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support.  We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience. 
The Role:We are seeking a Manager to hire and lead a Data Science team. This role reports to our VP of Data (for now) and is responsible for developing insights and strategic data assets in the domain of pricing, odds, and trading. The leader who fits this role will be experienced at managing data science teams, and is excited about the sports betting & gaming space. Duties and responsibilities may include:●      Build a best-in-class data science team to focus on pricing, odds and trading●      Share insights among the data group and across the company. This person embodies a “teaching” mentality and prioritizes relationships and information sharing●      Build strong relationships with internal stakeholders, including engineering, product, marketing, legal, trading and more●      Be a skilled, experienced data scientist capable of hands-on work when needed, and coaching more junior team members  What skills are important to us:●      Experience managing at least one data science team, and collaborating with data engineering, analytics, and other disciplines   ●      Expertise in data science and machine learning applications and techniques●      Strong strategic thinking, written and verbal communication, and resource prioritization skills●      Emphasis on trust-building and ability to quickly make decisions that usually turn out well●      Desire to build a team from scratch in a fast-paced environmentEnsure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants.  Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address.  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.
Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.
NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.

Tags: Engineering Machine Learning Security

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  3  1  0
Category: Leadership Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.