Senior Data Scientist - #7552

California - San Mateo

Full Time Senior-level / Expert
Fanatics Inc logo
Fanatics Inc
Apply now Apply later

Posted 1 month ago

Company Overview
Fanatics is the global leader in licensed sports merchandise and changing the way fans purchase their favorite team apparel and jerseys. Through an innovative, tech-infused approach to making and selling fan gear in today's on-demand culture, Fanatics operates more than 300 online and offline stores, including the e-commerce business for all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA), and more than 200 collegiate and professional team properties, which include several of the biggest global soccer clubs (Manchester United, Real Madrid, Chelsea). Fanatics offers the largest collection of timeless and 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 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.   
About the Team
Fanatics is first and foremost a technology company. We are powered by cutting-edge tech created by our small agile teams using the latest tools and technologies under our highly analytical, forward thinking, and 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, and deep data science capabilities while building the best-in-class retail manufacturing and supply chain technologies. Our tech teams work together to revolutionize data science and engineering initiatives, provide highly scalable real-time and streaming platforms, and create secure e-commerce and in-stadium fan experience products. Our own e-commerce platform transacts in over 190 countries, 17 languages, and 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, and 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 and operational efficiencies. We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans!
Fanatics Inc. is looking for highly motivated individuals to join our Data Science and 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, and maintain predictive models in one or more of the following areas:1. Search, Product Ranking, Learning-to-Rank, Recommendations Systems, NLP2. CRM/Email and eMarketing optimization3. Price and promotion optimization· Leads with excellent technical abilities, leadership, strong communication skills, and adaptability to new, cutting-edge research in the field of AI and Machine Learning· Leads the work of others in small groups of four to six data scientists to deliver complex models, analytical projects and solve business problems, and act as a mentor and thought leader for the team· Dive into complex data sets to analyze trends and 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 and design and implement data-driven solutions· Effectively communicate analytical solutions to non-technical stakeholders and 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 and statistical models and projects for real-world, business problems in productions· Strong algorithmic thinking and passion for empirical research to answer hard questions.· Ability to communicate complex quantitative analysis, analytic approaches and findings in a clear, precise, and actionable manner.· Designing and evaluating A|B experiments and monitoring key product metrics, understanding root causes of changes in metrics.· Working knowledge of big data processing technologies such as Hadoop, Hive, Pig and 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.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.
Ensure 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
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 future contract 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.
Job tags: AI Big Data Data Mining Engineering Hadoop Machine Learning Marketing Research Security Spark SQL
Job region(s): North America
Job stats:  10  0  0
  • Share this job via
  • or