Fanatics is the global leader in licensed sports merchandise & changing the way fans purchase their favorite team apparel & jerseys. Through an innovative, tech-infused approach to making & selling fan gear in today's on-demand culture, Fanatics operates more than 300 online & offline stores, including the e-commerce business for all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA), & more than 200 collegiate & professional team properties, which include several of the biggest global soccer clubs (Manchester United, Real Madrid, Chelsea). Fanatics offers the largest collection of timeless & timely merchandise whether shopping online, on your phone, in stores, in stadiums or on-site at the world's biggest sporting events. At Fanatics, we're a diverse, passionate group of employees aiming to ignite pride & passion in the fans we outfit, celebrate & support. We recognize that diversity helps drive & foster innovation, & through our IDEA program (inclusion, diversity, equality & advocacy) at Fanatics we provide employees with tools & resources to feel connected & engaged in who they are & what they do to support the ultimate fan experience.
About the Team
Fanatics is first & foremost a technology company. We are powered by cutting-edge tech created by our small agile teams using the latest tools & technologies under our highly analytical, forward thinking, & open-minded leadership. As the global leader in licensed sports merchandise, we challenge ourselves by improving our new fully responsive NodeJS cloud commerce platform, Elasticsearch engine, & deep data science capabilities while building the best-in-class retail manufacturing & supply chain technologies. Our tech teams work together to revolutionize data science & engineering initiatives, provide highly scalable real-time & streaming platforms, & create secure e-commerce & in-stadium fan experience products. Our own e-commerce platform transacts in over 190 countries, 17 languages, & 14 currencies. Our motto is #GSD-get stuff done-and we do just that. If you want to be at the nexus of sports, commerce, & technology, come be a part of our industry-leading team here at Fanatics Tech.
At Fanatics, we are passionate about leveraging data to drive growth & operational efficiencies. We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans!
Fanatics is looking for highly motivated individuals to join our Data Science & Engineering team. You will collaborate closely with engineering, PMs, cross functional business units to address challenging problems using techniques from applied statistics, machine learning and/or data mining fields.
What You'll Be Doing
Build, deploy, & maintain predictive models in one or more of the following areas:
1. Search, Product Ranking, Learning-to-Rank, Recommendations Systems, NLP
2. CRM/Email & eMarketing optimization
3. Price & promotion optimization
Leads with excellent technical abilities, leadership, strong communication skills, & adaptability to new, cutting-edge research in the field of AI & Machine Learning
Leads the work of others in small groups of four to six data scientists to deliver complex models, analytical projects & solve business problems, & act as a mentor & thought leader for the team
Dive into complex data sets to analyze trends & identify opportunities for improvement.
Support business stakeholders by providing ad-hoc analysis to help drive decision-making.
Collaborate cross-functionally with diverse teams (e.g. marketing operations, technology, merchandising, procurement, apparel design/production) to understand business objectives & design & implement data-driven solutions
Effectively communicate analytical solutions to non-technical stakeholders & senior leadership
What We're Looking For
Minimum 6+ years' relevant experience in the industry (excluding internships/co-op/academic projects)
Experience developing multiple machine learning & statistical models & projects for real-world, business problems in productions
Strong algorithmic thinking & passion for empirical research to answer hard questions.
Ability to communicate complex quantitative analysis, analytic approaches & findings in a clear, precise, & actionable manner.
Designing & evaluating A|B experiments & monitoring key product metrics, understanding root causes of changes in metrics.
Working knowledge of big data processing technologies such as Hadoop, Hive, Pig & Spark.
Ability to use SQL to perform data analysis.
Preferred to have a BS/MS/PhD in Statistics, Applied Math, Operational Research, Computer Science or related field.