Fanatics Collectibles aims to improve the collector experience by leveraging data science to enhance digital capabilities, expand market opportunities, and ensure product accessibility for current and future collectors.
Requirements
- 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 data wrangling and exploratory analysis, with the ability to extract meaningful insights from complex datasets and establish robust data foundations for downstream modeling efforts.
- Strong understanding of and practical experience in a wide range of machine learning algorithms and statistical modeling and inference.
- Experience and knowledge with computer vision domain, library such as OpenCV, PIL, and modern CV architectures (CNNs, Vision Transformers, Image Gen AI etc.) is preferred.
- Experience in software development, system design and deployment is preferred.
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.
Other
- 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.
