Data Scientist (Europe, Asia)

Reads like a ML Engineer role: putting models into production.

Remote, anywhere

Open 4 months, first seen by us 128 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
Listed location: Global - Remote
Read the full posting
Employment: Not stated

What you’ll work on

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.

Build personalized recommendation systems to lift conversion rates
Develop and productionize ML/AI systems for search ranking and content intelligence

From the employer’s posting

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.

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.

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

What you’ll bring

All qualifications

Core experience

2+ years of experience as a data scientist or similar role
Hands-on experience applying statistical and ML models with measurable business impact
Advanced Python and quantitative analysis ecosystem skills
Strong foundation in probability, statistics, machine learning and linear algebra
Knowledge of SQL and relational databases

Qualification wording

2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role

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

Knowledge of SQL and experience with relational databases

Apply at Sporty Group

Posting record

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Open 4 monthsWe first saw this posting 128 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 30, 2026128 days ago
Recorded sightings: 92
Last seen by us: Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 128

Up longer than most. Similar jobs usually come down between day 6 and day 70.

From 4,442 similar postings that came down. Coming down is not always a hire.

Sporty Group is hiring

2 open jobs

Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Azure
GCP
Spark

Where the posting names them

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

- 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

Our Stack - SQL - Python

- 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

- Python - AWS/Azure/GCP What you'll be doing

- Apache Spark - Experience working in cloud platforms (AWS, GCP, Microsoft Azure) - Relevant knowledge or experience in the gaming industry

Even better if you have - Apache Spark - Experience working in cloud platforms (AWS, GCP, Microsoft Azure)

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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.

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