Fanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans, a global partner network with over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores. 

 

As a market leader with more than 18,000 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.

 

ResponsibilitiesDuties and responsibilities may include:

• Team up with colleagues from engineering, analytics, and product to understand business needs and scope data science projects.
• Lead the development of data visualization and dashboards to help the organization monitor performance, generate insights, and continuously improve user experienceApply innovative problem-solving skills to dissect data and build machine learning / statistical models to solve business problems from different perspectives.
• Convert data requirements into data product requirements, evaluate technologies, and identify opportunities to innovate and improve our data science capabilities.
• Wrangle, process, cleanse, validate, and enrich data from different sources and prepare it for analysis.
• Participate in the full life cycle of model development, which spans from business problem discovery, data discovery to model deployment and monitoring.

Qualifications

• 2+ years of professional experience as a data scientist.
• Proficient in Python, SQL, Spark, the associated Python and Spark packages commonly used by data scientists.
• Experience in using data visualization and dashboard tools.
• Proficient in wrangling and analyzing data with complex relationships and time scale.
• Strong understanding of and practical experience in a wide range of machine learning algorithms and statistical models.
• Out-of-the-box thinker and problem solver who can turn ambiguous business problems into clear data-driven solutions that deliver meaningful business impacts.
• Excellent organizational skills, verbal and written communication skills, and presentation skills.

$128,000 - $252,000 a year

Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics or Fanatics Brand email address (this includes @betfanatics.com).  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

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. For additional information on how we collect and use personal information in connection with your job application, review our Candidate Privacy Policy-CA