Data Scientist (Europe, Asia)

Sporty Group; United States; A distancia; USD 120.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first company

Quarterly performance bonuses

28 days paid annual leave

Top-of-the-line equipment

Annual company retreats

Descripción de la vacante

Sporty is seeking a Data Scientist to build production-grade ML systems that power personalization, search, and recommendations. You will leverage Python, SQL, and cloud platforms to deliver measurable business impact at scale.

You will develop and productionize ML systems across domains such as ranking and recommendations, driving user growth and revenue through data-driven decisions.

Formación

• Hands-on experience applying statistical and ML models to real business problems with measurable impact.
• Strong Python proficiency and fluency with the Python data stack.
• Solid foundation in probability, statistics, ML, and linear algebra.
• 2+ years in data science, quantitative research, or related role.
• Knowledge of SQL and relational databases.

Responsabilidades

• Build and productionize data-driven ML systems for personalization, search, and recommendations.
• Develop ML/AI systems across domains like search ranking and content intelligence to drive growth.

Conocimientos

Python

Statistical modeling

Machine learning

Probability theory

Experience with data science

Educación

Applied Mathematics

Computer Science

Financial Engineering

Technology

Engineering

Herramientas

SQL

Relational databases

AI tools and agents

Descripción del empleo

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)