Principal Data scientist

India, Hyderabad

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Fanatics Inc
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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), major media brands (NBC Sports, CBS Sports, FOX Sports) and more than 200 collegiate and professional team properties, which include several of the biggest global soccer clubs (Manchester United, Real Madrid, Chelsea, Manchester City). 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.
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:  
Search, Product Ranking, Learning-to-Rank, Recommendations Systems, NLP 
CRM/Email and eMarketing optimization 
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 5 years' relevance 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. 
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.
Job tags: AI Big Data Data Mining Engineering Hadoop Machine Learning Marketing NLP Research Spark SQL
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