Data Scientist

Responsibilities

• Utilize advanced algorithms and data mining techniques to build personalized recommendation systems.
• Develop and productionize ML/AI systems across multiple domains, including search ranking and content intelligence.
• Optimize product and service recommendations to enhance user experience and improve business conversion rates.
• Solve real-world problems at scale by combining advanced analytics, Python-based modeling, and cloud engineering.

Requirements

• 2+ years of experience as a data scientist, quantitative researcher, or in a similar quantitative role.
• Advanced understanding of Python and the quantitative analysis ecosystem.
• Strong foundation in probability theory, statistics, machine learning, and linear algebra.
• Proficiency in SQL and experience working with relational databases.
• Degree in Mathematics, Computer Science, Engineering, or a related quantitative field.
• Proficiency with AI tools and agents as part of a daily development workflow.

Preferred Qualifications

• Experience working with Apache Spark.
• Hands-on experience with cloud platforms such as AWS, GCP, or Microsoft Azure.
• Relevant knowledge or experience within the gaming industry.
• Solid computer science background and project/stakeholder management experience.

Benefits

• Competitive salary plus individual performance-based bonuses paid quarterly.
• 28 days of paid annual leave.
• Remote-first work culture with core working hours of 10am-3pm in your local time zone.
• Top-of-the-line equipment and annual company retreats.
• Referral and flash bonuses.

About the Company

Sporty Group is a remote-first company focused on building high-impact digital products. We leverage data science and machine learning to drive personalization and growth across our global platforms.