Data Scientist (Europe, Asia)

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.