Data Scientist (Europe, Asia)

sportygroup; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Remote first company

Competitive salary + bonuses

28 days paid annual leave

Flexible core hours 10am-3pm in local–

Top-of-the-line equipment

Annual company retreats

Job summary

Sporty is seeking a Data Scientist to build and productionize ML systems for personalization, search, and recommendations, with a clear focus on measurable business impact. Remote-first policy and flexible hours support work-life balance.

You will use Python-based modelling, cloud engineering, and scalable data pipelines to solve real-world problems at scale in a fast-paced product environment and across multiple domains.

Qualifications

• Hands-on experience applying statistical and ML models to real business problems with measurable impact
• Advanced understanding of Python and the data analysis ecosystem in Python
• Strong foundation in probability, statistics, ML, and linear algebra
• 2+ years in a data scientist, quantitative researcher, or similar role
• Knowledge of SQL and relational databases
• Proficient with AI tools as part of daily development workflow
• Degree in Applied Mathematics, CS, Financial Engineering or Engineering
• Project and stakeholder management experience is preferred

Responsibilities

• Build personalized recommendation systems and optimize product and service recommendations to improve user experience and conversion
• Develop and productionize ML/AI systems across domains including search ranking, recommendation, and content intelligence

Skills

Python

SQL

Machine learning

Data analysis

Statistical modelling

AI tools

Cloud engineering

Education

Degree in Applied Mathematics or Computer Science or Engineering

Tools

Apache Spark

AWS

GCP

Azure

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.