Job description
Description
Head of Data Science - Esports Betting Models
Are you passionate about esports and predictive models?
Do you want to lead the next generation of esports modelling?
If the answers to the above questions are yes, then this role could be ideal for you!
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.
Requirements
What you will do
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
Your skills will include
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, utilizing significant knowledge of the betting industry to ensure model commercial viability and accuracy
Deep understanding of Data Science principles: Proficient in statistical modeling, machine learning algorithms, experimental design, and data visualization
Programming proficiency: Expert-level knowledge in languages like Python & Go, and experience with Big Data technologies
Model deployment and MLOps: Experience guiding the transition of models from research/development to production environments, ensuring scalability and reliability
Cloud platforms: Familiarity with major cloud services (AWS, Azure, GCP) for data storage, processing, and machine learning infrastructure
Team building and mentorship: Ability to recruit, train, and manage a high-performing team of data scientists, engineers, and analysts
Strategic vision: Defining the long-term data science roadmap, aligning it with overall business goals and priorities
Business orientation: Identifying high-impact business problems that can be solved with data science and translating them into tangible projects
Stakeholder collaboration: Working closely with C-level executives, product, engineering, and marketing teams to drive data-informed decisions
Benefits of working at GRID
Mental health support
Flexible working conditions
Company and team-wide events
Work travel opportunities with travel insurance
Training and development budget
About our culture
Flexibility: Work from the place that inspires and motivates you the most! From our awesome Berlin/ Wroclaw offices to the comfort of your own home. Meet up in person with your colleagues every so often, making use of the travel opportunities GRID offers
Sustainability: We want our employees to be rested and able to perform. We offer a generous vacation allowance (28+ days a year) and the opportunity to speak with professional counselors to support mental health - covered by the business
Pragmatic: GRID thrives on being rational, allowing us to make the best decisions rather than keeping to rigid processes and procedures that don’t work well for us
Fostering growth: Empowering employees who are determined to grow by providing a self-development budget and strong career advancement opportunities. Support from your teammates to guide and encourage you to grow in your desired professional field
Company culture: We believe a diverse industry is best served with an inclusive and diverse workforce. We have people based in over 24 countries, with recent employee surveys showing over 98% workplace satisfaction
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 and tournament organizers and leverages its data platform to unlock the potential of the right holders’ data assets for the purposes of storytelling, fan engagement, and integrity.
GRID’s official data partnerships cover multiple partnered rights holders (data sources) and integrated commercial data consumers, covering 15+ game titles. Our exclusive data partners include the likes of Riot Games, Ubisoft, Krafton, Moonton, BLAST, PerfectWorld, Hero Esports and CCT.
If you have the ambition and desire to work at the forefront of cutting-edge industry projects, then GRID is the place for you.
Apply today to find out more and begin your journey!
