Data Scientist - Personalization & Recommendations (Remote)

Remote; San Francisco (CA); A distancia; USD 110.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

28 days leave

Equipment provided

Annual retreats

Flexible core hours (10am–3pm)

Bonuses quarterly

Descripción de la vacante

Sporty is seeking a Data Scientist to build and productionize data-driven ML systems that enhance personalization, search, and recommendations at scale. You will work across analytics, Python modelling, and cloud engineering in a fast-paced product environment.

You will apply advanced algorithms and data mining to improve user experience and business metrics, develop ML across domains like search ranking and content intelligence, and collaborate with stakeholders to drive measurable outcomes.

Formación

• Hands-on experience applying statistical and ML models to real business problems.
• Advanced Python and data analysis ecosystem.
• Strong foundation in probability, statistics, ML, and linear algebra.
• 2+ years in data science or related roles.
• Knowledge of SQL and relational databases.
• Experience with AI tools and agents in daily development.
• Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering.
• Project and stakeholder management experience preferred.

Responsabilidades

• Build personalized recommendation systems and optimize product recommendations.
• Develop and productionize ML/AI systems across domains—search ranking, recommendation, content intelligence.

Conocimientos

Python

ML

SQL

Statistics

Probability theory

Data mining

Cloud platforms

Stakeholder management

Educación

BSc in Math/CS/Engineering

Herramientas

Apache Spark

AI tools

Relational databases

Descripción del empleo

Sporty is seeking a Data Scientist to build and productionize data-driven ML systems that enhance personalization, search, and recommendations at scale. You will work across analytics, Python modelling, and cloud engineering in a fast-paced product environment.

You will apply advanced algorithms and data mining to improve user experience and business metrics, develop ML across domains like search ranking and content intelligence, and collaborate with stakeholders to drive measurable outcomes.