Data Scientist (Europe, Asia)
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Before you apply
LocationGlobal - Remote
Work moderemote
Typefull-time
SeniorityMid
Experience2+ yrs
DepartmentData
Company size501–1,000 people
PostedJun 29, 2026 · 4mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering
Project and stakeholder management experience is preferred
Apache Spark
Experience working in cloud platforms (AWS, GCP, Microsoft Azure)
Relevant knowledge or experience in the gaming industry
Solid computer science background
Applications submitted using false, misleading or fraudulent information... will not be considered
We may verify a candidate’s identity and/or the accuracy of information provided during the recruitment process
Skills
Python
SQL
AWS
Azure
GCP
Apache Spark
Benefits
Remote first
Performance bonuses
Paid annual leave
Referral bonuses
Equipment stipend
Company retreats
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
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SQL
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Python
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AWS/Azure/GCP
What you’ll be doing
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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.
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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
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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
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Apache Spark
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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
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Sporty is a remote first company in pursuit of sustainability
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A competitive salary + individual performance based bonuses every quarter
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28 days paid annual leave
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Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
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Referral bonuses & flash bonuses
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Top of the line equipment
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Annual company retreats to provide great internal networking opportunities
Interview Process
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Remote video screening with our Talent Acquisition Team
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Online home assignment
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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.
Legal
*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.