Data Science Tech Lead

We are looking for a hands-on Data Science Tech Lead to drive the development of sports analytics and prediction products. This role combines deep technical expertise in machine learning and mathematical modeling with team orchestration and delivery ownership. You will work closely with the Engineering Manager and lead a team of 4 Data Science Engineers, transforming business needs and production challenges into scalable data science solutions.

Responsibilities

• Collaborate with the Engineering Manager to coordinate and support a team of 4 Data Science Engineers
• Collect and analyze business requirements, production issues, and product needs, transforming them into actionable data science tasks and backlog
• Analyze large volumes of sports, esports, and trading data
• Develop and improve sports prediction models using statistics and machine learning techniques
• Conduct, automate, and evaluate data-driven experiments
• Integrate mathematical and ML models into production workflows
• Participate in hands-on development and coding activities
• Perform code reviews and maintain high engineering and data science quality standards
• Ensure efficient execution and delivery of data science initiatives within the team

Requirements

• Previous experience in a Tech Lead or team leadership role
• Strong hands-on programming skills in Python
• Advanced knowledge of databases and data processing
• Strong expertise in machine learning, statistics, and probability theory
• Experience building and deploying mathematical or predictive models
• Upper-Intermediate+ level of English
• Ability to balance technical leadership with hands-on engineering work

What we’re looking for

This is primarily a hands-on engineering role focused on building mathematical models, writing production-level code, and delivering real business impact through data science solutions. The role also requires strong coordination skills to distribute work effectively within the team, support engineers, and ensure successful delivery together with the Engineering Manager.

Successful probation expectations

Successful delivery of a sports analytics or modeling product through effective team orchestration, hands-on contribution to development, and high-quality execution of data science workflows.

Ideal candidate profile

• Proactive in communication and information gathering
• Focused on data-driven decision making
• Detail-oriented with high standards for production quality and best practices
• Experience in high-load real-time data environments (e.g., fintech, gaming, marketing analytics, computer vision) working with large-scale data streams

We offer

• Ability to work remotely
• Competitive and timely payment for services
• Flexible work schedule
• Personal mentoring and coaching
• Team building and corporate events
• 100% paid sick leave
• 20 working days of paid vacation
• Paid child care leave