Data Scientist (Europe, Asia) at Sporty Group

Job description

About the 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. Our Stack SQL Python AWS/Azure/GCP What you'll be doing 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. What you'll bring 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 Apache Spark Experience working in cloud platforms (AWS, GCP, Microsoft Azure) Relevant knowledge or experience in the gaming industry Solid computer science background What’s in it for you 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 Interview Process Remote video screening with our Talent Acquisition Team Online home assignment Remote video interview with Team Members (3x45 Mins) If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours. *We are committed to maintaining a fair, secure and authentic recruitment process. Applications submitted using false, misleading or fraudulent information, including impersonated or fake profiles, will not be considered. Where reasonably necessary to protect the integrity and security of our recruitment process, we may verify a candidate’s identity and/or the accuracy of information provided during the recruitment process. Any such checks will be carried out in a proportionate and appropriate manner and in accordance with applicable data protection and employment laws.

Requirements

Must-haves

AWS/Azure/GCP
What you'll be doing
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
Even better if you have
Apache Spark
Experience working in cloud platforms (AWS, GCP, Microsoft Azure)
Relevant knowledge or experience in the gaming industry
Solid computer science background
What’s in it for you
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

Nice-to-haves

Project and stakeholder management experience is preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlpythonsqlawsazuregcpaimachine learning

Platform: greenhouse
Effort: quick