About the Team
Fanatics is one of the world’s most transformative companies, which over the past decade has implemented a revolutionary vertical commerce model, cutting-edge tech platform and agile supply chain to morph from a North American e-commerce vendor into a new breed of mobile-first consumer brand: part tech company, part on-demand manufacturer and part logistics expert. Fanatics’ commerce division is the world’s largest manufacturer and provider of licensed sports merchandise, and the same innovation and differentiation the company applied to the antiquated licensed apparel industry is now being optimized across the entire sports ecosystem, including physical and digital trading cards and collectibles and online sports betting and iGaming. With more choices at the fingertips of consumers than ever before, Fanatics is building the leading global digital sports platform to create interactive, lasting fan experiences which also helps partners establish better direct-to-consumer relationships in today’s highly competitive world.
Fanatics Collectibles has the combined vision and distinct strengths of both Fanatics and Topps that will improve the collector experience while maintaining vital parts of the hobby. Fanatics’ data-driven, direct-to-consumer expertise, which includes a database of more than 80 million sports fans globally, will enhance and expand Topps’ existing digital capabilities and grow the market opportunity for all participants. In addition, Topps’ world-class quality, product development, and manufacturing capabilities, along with their commitment to collectors and hobby shops, will ensure products are more readily accessible, positively impacting current and future collectors and partners.
The Role
We are looking for senior-level Data Scientists to join our Data Engineering, Science, and Analytics team. Do you thrive at applying data science to solve business problems? As a data scientist, you will have ample opportunities to apply your data science skillset to unlock vast business opportunities by extracting key insights using a wide range of data sources, advanced statistical models, and machine learning algorithms and translating results into meaningful, goal-oriented business actions. Each day, you will be presented with a variety of new challenges and interesting projects that tap your interests and strengths.
Responsibilities:
Collaborate with cross-functional partners in operations, finance, marketing, and engineering to understand business need and scope data science projects. Wrangle, process, cleanse, verify, and enrich data from different sources used for analysis. Help build data-informed business strategy and roadmaps. Translate business needs into data product requirements, evaluate technologies, and identify opportunities to innovate and improve our data science capabilities. Use creative problem-solving skills to analyze data and build statistical / machine learning models to help solve business problems from different perspectives. Work closely with data engineers to create services that can ingest and supply data to and from both internal and external sources and ensure data quality and timeliness. Lead the development of data visualization and dashboards to help the organization monitor performance, generate insights, and continuously improve user experience. Establish playbooks to drive process and consistent outcomes. Participating in the full life cycle of model development, which spans from business problem discovery, data discovery to model deployment and monitoring.
Qualifications:
Master’s or Doctoral degree in Computer Science (with a focus on Data Mining, Machine Learning), Statistics, Econometrics, Physics, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale. 4+ years of professional experience as a data scientist. Proficient in Python, SQL, Spark, the associated Python and Spark packages commonly used by data scientists, and Deep Learning libraries, such as PyTorch. Proficient in wrangle and analyze data with complex relationships and time scale. Strong understanding of and practical experience in a wide range of machine learning algorithms and statistical modeling. Experience in using data visualization and dashboard tools. Experience and knowledge with computer vision domain, library such as OpenCV, PIL, and modern CV architectures (CNNs, Vision Transformers, Image Gen AI etc.) Experience in software development, system design and deployment is preferred. Working experience in cloud-native technology. Experience working with large structured and unstructured datasets stored in relational and NOSQL databases. 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.
Some things you may want to know about us:
We’re a small team (growing fast!) and everyone wears lots of hats. We’re have offices in Los Angeles and New York, and many of us are remote. We work hard, but not all the time. We have families that we like to spend time with.
The salary range for this position is $200,000- $240,000 which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training.
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 email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers