Sr. Data Scientist

• Collaborate with cross-functional partners in operations, finance, marketing, and engineering to understand business need and scope data science projects
• Wrangle, process, cleanse, and verify data from different sources used for analysis
• Help build data-informed business strategy and roadmaps
• Translate data 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 with 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 quantitative disciplines that require processing and modeling data at a large scale
  • 5+ 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
  • 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
  • Proficient in other languages, such as R, used in data science is a plus
  • Basic knowledge of data engineering and MLOps is a plus
  • Certificates earned in data mining, machine learning, deep learning, statistical modeling, cloud computing, and data engineering is a plus 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 $185,000-$200,000 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 or Fanatics Brand email address. For added security, where possible, apply through our company website at www.fanaticsinc.com/careers
      
      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.
      
      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 other types of 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. For additional information on how we collect and use personal information in connection with your job application, review our Candidate Privacy Policy-CA

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