Head of Data Science - Esports Betting Models

Head of Data Science - Esports Betting Models

Join to apply for the Head of Data Science - Esports Betting Models role at GRID esports .

Overview

You will take a proactive leadership role in building the models, systems, and team that enable GRID’s odds and pricing capabilities across multiple esports titles. You’ll operate at the intersection of high-frequency predictive modelling, live trading logic, and deep, structured in-game telemetry data, bringing together cutting‑edge data science with the speed and precision required by global betting markets.

Responsibilities

• Lead the development of betting-focused predictive models, pricing, and trading systems for an expansive set of outcomes across GRID‑partnered esports titles.
• Demonstrate an ability and desire to get involved in the implementation, deployment, and maintenance of models, products, and infrastructure.
• Jointly own the data science roadmap with the product team for all modeling and pricing efforts, aligning it with GRID’s broader betting and B2B strategy.
• Take ownership of the Data Science team as a whole, undertaking all management functions, including people management and growth.
• Design and maintain a model‑development and training pipeline that is highly efficient and results in high-quality, accurate predictive models.
• Monitor and continuously improve model performance, with clear metrics, feedback loops, and production observability in place.

Qualifications

• Strategic Modelling for Odds Generation: Expert ability to develop, validate, and deploy advanced, low-latency models for real‑time odds adjustment and pre‑game pricing.
• Deep understanding of Data Science principles: Proficient in statistical modeling, machine learning algorithms, experimental design, and data visualization.
• Programming proficiency: Expert-level knowledge in Python and Go, with experience with Big Data technologies.
• Model deployment and MLOps experience: Guiding the transition of models from research to production environments.
• Cloud platform familiarity: AWS, Azure, or GCP.
• Team building and mentorship: Recruit, train, and manage a high-performing team of data scientists, engineers, and analysts.
• Strategic vision and business orientation: Define long‑term data science roadmap aligned with business goals.
• Stakeholder collaboration: Work closely with C-level executives, product, engineering, and marketing teams.

Benefits

• Mental health support.
• Flexible working conditions.
• Company and team-wide events.
• Work travel opportunities with insurance.
• Training and development budget.

About GRID

Founded in 2018 in Berlin, GRID offers the GRID Data Platform to the esports & games industry. Specializing in in-game and play-by‑play data, GRID curates data for game developers, tournament organizers, and leverages its platform to unlock the potential of data assets for storytelling, fan engagement, and integrity.

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