
201 - 500 employees
🎮 Gaming
💳 Fintech
📱 Media
Gaming • Fintech • Media
Sporty Group is a consumer internet and technology business with a strong foothold in sports media, gaming, social, and fintech platforms. The company serves millions of daily active users globally through its technology and operations hubs located across more than 10 countries and 3 continents. Sporty Group's success is built on attracting intelligent, energetic individuals who are passionate about creating value and are rewarded for their contributions. The company employs a diverse team of over 300 professionals and continuously seeks to grow with the help of talented people offering innovation and excellence.
🕒 June 29
Where this job comes from
Posted on Sporty Group's careers page, not through a job board
First seen by Remote Rocketship June 29
Still open on Sporty Group's site. Checked 1 hour ago.

201 - 500 employees
🎮 Gaming
💳 Fintech
📱 Media
Gaming • Fintech • Media
Sporty Group is a consumer internet and technology business with a strong foothold in sports media, gaming, social, and fintech platforms. The company serves millions of daily active users globally through its technology and operations hubs located across more than 10 countries and 3 continents. Sporty Group's success is built on attracting intelligent, energetic individuals who are passionate about creating value and are rewarded for their contributions. The company employs a diverse team of over 300 professionals and continuously seeks to grow with the help of talented people offering innovation and excellence.
• Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates. • Develop and productionize ML/AI systems across multiple domains — including search ranking, recommendation, and content intelligence — that directly impact user growth and business outcomes.
• Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes • Advanced understanding of Python and the quantitative analysis ecosystem in Python • Strong foundation in probability theory, statistics, machine learning, and linear algebra • 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role • Knowledge of SQL and experience with relational databases • Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery • Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering • Project and stakeholder management experience is preferred
• Sporty is a remote first company in pursuit of sustainability • A competitive salary + individual performance based bonuses every quarter • 28 days paid annual leave • Our core working hours are 10am-3pm in your local time zone with flexibility outside of this • Referral bonuses & flash bonuses • Top of the line equipment • Annual company retreats to provide great internal networking opportunities
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