Data Scientist (Europe, Asia)

Sporty Group
Anywhere
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: []

Build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences. Use data mining and advanced algorithms to develop recommendation systems that improve user experience and conversion rates, and ship ML/AI solutions across domains like search ranking and content intelligence. Work with Python-based modeling, SQL, and cloud engineering (AWS/Azure/GCP) to deliver measurable impact in a fast-paced, remote-first product environment.

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FursaFursa
Sporty Group
Sporty Group
2 months ago

Data Scientist (Europe, Asia)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences. Use data mining and advanced algorithms to develop recommendation systems that improve user experience and conversion rates, and ship ML/AI solutions across domains like search ranking and content intelligence. Work with Python-based modeling, SQL, and cloud engineering (AWS/Azure/GCP) to deliver measurable impact in a fast-paced, remote-first product environment.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build personalized recommendation systems using advanced algorithms and data mining to improve user experience and conversion rates.
  • •Develop and productionize ML/AI systems across domains including search ranking, recommendation, and content intelligence.
  • •Apply statistical and ML models to real business problems with measurable revenue or business-outcome impact.
  • •Work with AI tools and agents as part of the daily development workflow to accelerate delivery.
  • •Manage projects and stakeholders as needed to deliver outcomes.

Pay and Benefits

Perks:Paid LeaveRemote Work

Key Requirements

  • •2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or related role.
  • •Advanced proficiency in Python for quantitative analysis and statistical/ML modeling.
  • •Strong foundation in probability, statistics, machine learning, and linear algebra.
  • •Knowledge of SQL and experience with relational databases.
  • •A degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering.
Experience:2+ years
Education:Bachelor's in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering
Languages:English
Tech Stack:SQLPythonAWSAzureGCPApache Spark

Company Brief

Sporty Group
Operates an online retail platform offering sports apparel, equipment, and accessories across multiple sports categories, targeting consumers and amateur athletes with a range of brands and direct-to-consumer products.
Industry: E-commerce
Website