Sporty Group

4 weeks ago

Data Scientist (Europe, Asia)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Data Scientist role at Sporty building and productionizing ML systems for personalization, search, and recommendations at scale. You’ll apply advanced analytics and Python-based modeling, working across domains such as search ranking, recommendations, and content intelligence to drive measurable business impact, leveraging cloud platforms and SQL data in a fast-paced product environment.

Location: Anywhere

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and productionize ML/AI systems across multiple domains — including search ranking, recommendation, and content intelligence — that directly impact user growth and business outcomes
•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
•Collaborate with cross-functional teams to translate business problems into data science solutions and measure impact on revenue
•Develop scalable data pipelines and models that can operate in a cloud environment (AWS/Azure/GCP)
•Generate insights and present findings to stakeholders to inform product and business decisions

Pay and Benefits

Perks:Remote WorkPaid LeaveAnnual BonusEquipmentRetreats

Key Requirements

•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
•Knowledge of SQL and experience with relational databases
•Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering

Experience:2+ yearsData scienceMlStatisticsProbabilityLinear algebra

Education:Bachelor's

Skills:Problem-solvingCommunicationTeam collaboration

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

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Sporty Group

4 weeks ago

Data Scientist (Europe, Asia)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Anywhere

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and productionize ML/AI systems across multiple domains — including search ranking, recommendation, and content intelligence — that directly impact user growth and business outcomes
•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
•Collaborate with cross-functional teams to translate business problems into data science solutions and measure impact on revenue
•Develop scalable data pipelines and models that can operate in a cloud environment (AWS/Azure/GCP)
•Generate insights and present findings to stakeholders to inform product and business decisions

Pay and Benefits

Perks:Remote WorkPaid LeaveAnnual BonusEquipmentRetreats

Key Requirements

•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
•Knowledge of SQL and experience with relational databases
•Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering

Experience:2+ yearsData scienceMlStatisticsProbabilityLinear algebra

Education:Bachelor's

Skills:Problem-solvingCommunicationTeam collaboration

Languages:English

Tech Stack:SQLPythonAWSAzureGCPApache Spark

Company Brief

Sporty Group

Industry: E-commerce

Website