Opportunity overview
What you should know
We checked this opportunity from Sporty Group. It is listed as Worldwide.
The work location is Remote — worldwide. Employer-stated compensation: Salary not included in the job posting.
Job description
About this role
As a Data Scientist at Sporty, you will build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences, with a clear focus on measurable business impact. The role combines advanced analytics, Python-based modelling, and cloud engineering to solve real-world problems at scale in a fast-paced product environment.
Responsibilities
- 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.
Qualifications and requirements
- 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
- Even better if you have
- Experience working in cloud platforms (AWS, GCP, Microsoft Azure)
- Relevant knowledge or experience in the gaming industry
- Solid computer science background
The description, responsibilities and qualifications used for this page and its JobPosting data appear above. Use the application action in the Job snapshot to confirm any later changes before applying.
Why you may be eligible
The source says applicants worldwide may apply. You should still confirm time-zone, work-authorization and experience requirements.
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How this listing was checked
- Source status
- Applicant-tracking source confirmed
- Employer or source
- Sporty Group
- Source checked
- September 7, 2026
- Application destination
- Employer or official applicant-tracking website
- Work setup and location
- Remote · Remote — worldwide
- Who can apply
- Worldwide · Confirmed by source
- Pay
- Not stated by employer
- Deadline
- Not stated by employer
We check the source and visible requirements, but the employer controls changes and the final hiring decision. Confirm the latest requirements before applying.