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Company Overview

Fanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative 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 over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores. 

As a market leader with more than 18,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

We’re hiring a Staff Data Scientist for our Data Engineering, Science, and Analytics team. If you excel at using data science to tackle business issues, this role could be perfect for you. As part of our team, you’ll get the chance to apply your data science skills to generate business growth. You’ll extract vital insights from diverse data sources, employ machine learning algorithms, and apply advanced statistical models. Your findings will be translated into business actions. Expect a daily array of new challenges and captivating projects that will leverage your interests and strengths.

Responsibilities:

• Team up with colleagues from engineering, operations, marketing, and finance to understand business needs and scope data science projects.
• Wrangle, process, cleanse, validate, and enrich data from different sources and prepare it for analysis.
• Assist in crafting data-informed business strategy and roadmaps.
• Convert data requirements into data product requirements, evaluate technologies, and identify opportunities to innovate and improve our data science capabilities.
• Apply innovative problem-solving skills to dissect data and build machine learning / statistical models to 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.

• Master’s or Doctoral degree in Computer Science (with a focus on AI, Machine Learning, Data Mining), 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 models.
• Strong understanding of and practical experience in using generative AI models.
• 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.

• Doctoral degree in computer science with a strong focus on deep learning and AI.
• Proficient in other languages, such as R, used in data science.
• Knowledge of data engineering and MLOps.
• Certificates earned in AI, data mining, machine learning, deep learning, statistical modeling, cloud computing, data engineering, and MLOps.

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

About the Team

Fanatics Collectibles is a new company working at the intersection of collectibles and technology. Backed by some of the best investors, sports properties and operators in the world, we are integrating with Fanatics’ global digital sports platform – which includes 900 sports relationships and more than 100 million reachable fans - to reimagine the collectibles business for the 21st century.

Fanatics Collectibles is looking for Director, Generative AI for our growing Operations team. The Director, Generative AI, will lead the integration of AI tools and techniques into photo editing and content creation processes, foster innovation, manage relationships with external partners, and drive the successful implementation of AI-driven imaging solutions. This role will involve leveraging your in-depth knowledge of generative AI technologies to enhance the photo editing and content creation processes.

Responsibilities

• Apply your expertise in generative AI technologies to identify opportunities for integrating AI tools and techniques into the photo editing and content creation processes. This includes understanding the capabilities and limitations of generative AI algorithms and finding ways to optimize their use in the context of visual storytelling.
• Collaborate closely with the technical team to evaluate and select appropriate AI tools, software, and equipment required for implementing AI-driven imaging solutions. This involves researching and testing different AI solutions, considering factors like performance, accuracy, scalability, and compatibility with existing workflows.
• Stay up-to-date with industry trends and emerging techniques in photo editing and generative AI. Continuously explore new methods and tools to enhance visual storytelling through innovative editing techniques and AI-driven approaches. This includes attending conferences, reading research papers, and engaging with the AI community to remain at the forefront of developments in the field.
• Foster and manage relationships with external vendors, freelancers, and technology platforms that provide AI-related services or solutions. This involves identifying suitable partners, negotiating contracts, and ensuring smooth collaboration to meet project goals and timelines.
• Oversee the implementation of AI-driven imaging solutions, ensuring efficient project management and successful delivery of outcomes. This includes setting project objectives, establishing timelines, coordinating resources, and monitoring progress to achieve desired results.
• Collaborate with other teams within the organization, such as the creative team, product development, and marketing, to identify opportunities for integrating generative AI technologies into various aspects of the business. Work closely with stakeholders to align AI initiatives with organizational goals and ensure successful adoption and integration.
• Implement robust quality assurance processes to ensure the accuracy, reliability, and consistency of AI-driven imaging solutions. This includes testing and validating the output of generative AI algorithms, identifying and resolving issues, and iterating on the implementation to improve performance.
• Maintain a strong understanding of ethical considerations and legal frameworks related to AI technologies. Ensure compliance with data protection and privacy regulations, and promote responsible and ethical use of AI within the organization.

Fanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative 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 over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores. 

As a market leader with more than 18,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives. 

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

Company Overview

Fanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative 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 over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores. 

As a market leader with more than 18,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

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.

• 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.
• 6+ 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.
• Basic knowledge of data engineering and MLOps.
• Certificates earned in data mining, machine learning, deep learning, statistical modeling, cloud computing, and data engineering.

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

Company Overview

Fanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative 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 over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores. 

As a market leader with more than 18,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

We have big plans in this space and there’s a ton to do - trading card data is multifaceted and pricing is largely driven by secondary market activities that are challenging to coalesce and get insights from. We want to transform the way decisions are made in our organization and across the industry, and data is one of the pillars that will enable us to do that.

Analytics engineers in Data Science & Engineering Team deliver cleaned,well-defined, transformed, enriched, tested, and documented datasets that feed into our dashboard capabilities to provide real-time business intelligence and answer business-critical questions in a timely manner. They need to act with a sense of urgency and have a strong sense of curiosity about how to answer impactful business questions in a consistent and reliable fashion with data, data science techniques, and modern data tools. Analytics engineers possess skillsets that encompass data engineering, data analysis, and business intelligence.

Analytics Engineers’ responsibilities include, but are not limited to, the following:

• Work closely with business users to produce business-user-friendly dashboards that address critical business needs in a self-serving manner.
• Support senior management by managing key performance metrics reporting.
• Conduct ad-hoc analyses whenever needed.
• Transform complicated business problems into data-driven solutions by collaborating closely with our data engineers and data scientists.
• Research, design, and develop new datasets and pipelines by leveraging our data to support business functions through thoughtful data modeling and analysis.
• Utilize modern, cloud-based data technologies and business intelligence tools to automate and optimize reports.
• Provide clean, transformed data ready for analyses and dashboarding in a timely manner.
• Maintain data documentation, definition, and dictionary.
• Efficiently manage custom-built datasets.
• Conduct deep-dive analysis on a regular basis.
• Apply software engineering best practices to develop analytical codes.

• A bachelor degree in computer science, computer engineering, data science, or a highly related field with 3+ years of experience as an analytics engineer or software engineer focusing on building data infrastructure. A graduate degree is a plus.
• Knowledge of SQL skills for querying, analysis, performance optimization and persisting data.
• Familiarity with programming languages, such as Python.
• Excellent organizational skills, verbal and written communication skills, and presentation skills.
• Excellent relationship management and the ability to work across business teams and functions.
• Be well aware of how to adopt software engineering best practices and apply them to analytics code.

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