Data Scientist (Europe, Asia)

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.