At a Glance
- Tasks: Drive business growth through data insights and collaboration with commercial teams.
- Company: Join Fanatics, a leading global digital sports platform igniting fan passions.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and career advancement.
- Why this job: Make an impact in the exciting world of iGaming and sports analytics.
- Qualifications: 3-5 years in data science, strong SQL and Python skills required.
The predicted salary is between 85000 - 104000 € per year.
About the Company
Fanatics is building a leading global digital sports platform that ignites the passions of sports fans worldwide and maximises the presence of our hundreds of sports partners across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming. The platform allows fans to buy, collect, and bet on licensed fan gear, trading cards, memorabilia, and digital assets while building a Sportsbook and iGaming platform.
Position Overview
We are seeking a Data Scientist III to join our Decision Science team. The role reports to the Decision Science Manager and focuses on creating insights to drive business growth by partnering closely with senior commercial stakeholders and their teams.
Responsibilities
- Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behaviour.
- Build strong relationships with stakeholders across both Sports and Casino business units, acting as a key technical contributor to driving total commercial performance.
- Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems.
- Contribute to the development, deployment, and iterative improvement of automated personalisation and promotion engines across the iGaming suite.
- Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency.
- Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.
Qualifications (Experience And Skills)
- Minimum of 3-5 years proven experience in a data science or advanced analytics role.
- Degree in a quantitative field such as Mathematics, Physics, Statistics, Engineering, Computer Science, or Economics.
- Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models.
- Strong understanding of statistical concepts such as regression, clustering, and A/B testing in high‑growth environments.
- Expertise in experimental design and causal inference, including A/B/n testing, quasi‑experiments, and uplift modelling to determine true incremental value.
- Demonstrated ability to partner with stakeholders, earning trust through data‑driven insights and clear communication.
- Outcome‑oriented and data‑driven; comfortable navigating fast‑paced, high‑growth environments.
Preferred
- Experience experimenting with Generative AI solutions (e.g., LLM‑based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment.
- Previous experience in iGaming (Sportsbook or Casino) or with Customer Lifetime Value models is a significant plus.
Benefits
Information about our benefits can be found at https://benefitsatfanatics.com/.
Compensation
Salary Range: €99,000 - €124,000 EUR.
Data Scientist III employer: Fanatics
Fanatics is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about sports and data science. With a strong emphasis on employee growth, you will have the opportunity to collaborate with senior stakeholders and contribute to cutting-edge projects in the iGaming sector, all while enjoying competitive compensation and comprehensive benefits. Located in a vibrant environment, Fanatics encourages creativity and offers unique advantages such as access to the latest technology trends and a supportive team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist III
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Fanatics. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data science expertise. When you get the chance to chat with hiring managers, having something tangible to discuss can really set you apart.
✨Tip Number 3
Be ready for the interview! Brush up on your SQL and Python skills, and be prepared to discuss your experience with machine learning models. We want to see how you think and solve problems, so practice explaining your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Fanatics team. Let's make it happen!
We think you need these skills to ace Data Scientist III
Some tips for your application 🫡
Know Your Stuff:Before you start writing, make sure you understand the iGaming ecosystem and the role of a Data Scientist III. This will help you tailor your application to show how your skills and experience align with what we're looking for.
Showcase Your Skills:Highlight your SQL and Python proficiency, along with any experience in machine learning models. Use specific examples from your past work to demonstrate your expertise and how it can benefit our Decision Science team.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We want to see your personality shine through, so don’t be afraid to let us know who you are!
Apply Through Our Website:Make sure to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Fanatics
✨Know Your Data Inside Out
Before the interview, dive deep into the iGaming ecosystem. Familiarise yourself with Sportsbook and Casino products, player behaviour, and how data drives decisions in these areas. This knowledge will help you impress the interviewers with your understanding of their business.
✨Showcase Your Technical Skills
Be ready to discuss your experience with SQL and Python. Prepare examples of machine learning models you've built or validated. If you have experience with A/B testing or causal inference, make sure to highlight that too. Practical examples will demonstrate your expertise effectively.
✨Build Relationships with Stakeholders
Since this role involves collaborating with senior commercial stakeholders, think about how you can showcase your ability to build trust and communicate insights clearly. Share past experiences where you successfully partnered with stakeholders to drive performance through data-driven insights.
✨Stay Current on Industry Trends
Research the latest trends in machine learning and the global sports betting industry. Being able to discuss recent developments or innovations, especially around Generative AI solutions, will show your passion for the field and your commitment to staying ahead of the curve.
