Senior/Staff Data Scientist

The Role 

We are looking for senior-level Data Scientists to join Analytics team. Are you passionate about data and thrive at applying data science to solve impactful 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, machine learning algorithms, and modern AI techniques, and translating solutions 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 both our team and cross-functional partners in product, growth, marketing, commercial, strategy and operations 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 from both internal and external sources and ensure data quality and timeliness.
• Take ownership of the entire, end-to-end data product development and deployment process of the specific product assigned to you.
• 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, data analyses, model development and testing to model deployment and monitoring.

 

Qualifications:

• Master’s or Doctoral degree in Computer Science (with a focus on AI, Data Mining, Machine Learning), Statistics, Econometrics, Operational Research, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale.
• 4+ years of professional experience as a professional data scientist with extensive experience in statistical and machine learning modeling.
• Experience with building recommendation engine, search ranking, NLP models highly preferred.
• Experience with personalization use cases for consumers highly preferred.
• 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, statistical modeling, and modern AI techniques.
• Experience in using data visualization and dashboard tools.
• Working experience in cloud data technology.
• Experience working with large structured and unstructured datasets.
• Out-of-the-box thinker and problem solver who can turn ambiguous business problems into clear data-and-ML-driven solutions that deliver impactful business results.
• Excellent organizational skills, verbal and written communication skills, and presentation skills.
• The following is a plus:
  • Some knowledge of data engineering and MLOps.
  • Proficient in other languages, such as R, used in data science.
  • Certificates earned in AI, data mining, machine learning, deep learning, statistical modeling, cloud computing, data engineering, and MLOps.

 

Locations

• Los Angeles, or NYC

 

In Los Angeles, the salary range for this position is $152,000-$190,000, which represents base pay only and does not include short-term or long-term incentive compensation. In New York City, the salary range is $168,000-$210,000. These salary ranges are specific to Los Angeles or NYC and may not be applicable to other locations. 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.

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.