Fanatics is looking for senior-level Data Scientists to join their Data Engineering, Science, and Analytics team to apply data science to solve business problems, unlock business opportunities by extracting key insights using data sources, advanced statistical models, and machine learning algorithms, and translate results into meaningful, goal-oriented business actions.
Requirements
- 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.
Responsibilities
- Wrangle, process, cleanse, verify, and enrich data from different sources used for analysis.
- 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.
Other
- Collaborate with cross-functional partners in operations, finance, marketing, and engineering to understand business need and scope data science projects.
- 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.
- 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.
