Qureos Mentor

Genius Sports

Genius Sports is a leading technology company that serves the global sports ecosystem. It specializes in building innovative technology and experiences to enhance sports engagement and performance. Their solutions leverage advanced big data and artificial intelligence through the GeniusIQ platform, which supports various applications including sports performance analysis, officiation, fan engagement, advertising, and sports betting. Founded in 2001, Genius Sports collaborates with major sports leagues and organizations worldwide, including the NFL, NBA, and EPL, and operates from multiple international locations.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
 
The Role
 
You will join one of our established high-performing teams within the Betting division, as we invest in our core and future Betting products. You will be focusing on the delivery of technical and product-focused initiatives, to expand and scale up our industry's leading Sportsbook and Risk Management products.
 
One example is our Advanced Risk team, who were set up to challenge conventional wisdom about risk management for sports betting operators. Using new measures of liability that take account of correlations between different markets on an event, and by monitoring betting patterns from the moment an event is opened for betting, we apply margins asymmetrically in a way that helps operators to make higher profit margins, reduce volatility and improve customer experience with greater uptime and fewer rejected bets. Our software provides customers with a new level of flexibility over the way they manage their Sportsbooks to meet their financial objectives. Smart algorithms allow decisions about bets to be taken quickly at scale while enabling close control when desired, reminiscent of earlier days of sports betting.
 
How will you work?
 
Join a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, DevOps Engineers, Data Scientists, QA Engineer and a Product Owner, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.
 
We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain.
 
If you are looking to tackle hard problems with smart solutions, collaborate with astute engineers and deliver high calibre code with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.
 
As a Software Engineer SE2 you and your team will build highly distributed, real-time, dynamically scaling systems using modern CI/CD pipelines & cloud infrastructure. You will be responsible for innovating, architecting, delivering & maintaining an industry-revolutionising product.
 
We will lean on your technical expertise and your pragmatic approach to problem solving; working in a team that prioritises the principles of Agile delivery and continuous improvement. You will have a Data-driven, evidence-based mentality, comfortable with the principles of continuous experimentation and validation.
 
What skills do you have?
 
You will have understanding of at least one object-oriented programming language (C#, Java, JS, Kotlin, Python, PHP, Golang, C++)
 Flexibility to work on all areas of the service stack, front-end, back-end, infrastructure etc.
 You will have an understanding of the principles of good software design. Familiarity with core concepts such as information hiding, abstraction, module design, cohesion and coupling.
 You will have knowledge of testing methodology (TDD) and designing high-quality testing suites resilient to changes in implementation.
 Understanding of Data Structures, Databases and Caching Technologies
 
It is advantageous for you to have knowledge of the following:
 
You will have knowledge of C#
 You will have broader software architecture knowledge of architectural patterns and apply them to highly-scalable, fault-tolerant, observable microservices and systems.
 You will have knowledge of source control, continuous integration, pipeline design, containerised workloads and infrastructure as code.
 Operation of Kubernetes Clusters
 Building cloud native applications (AWS)
 Messaging and asynchronous communication technologies (RabbitMQ, Pulsar)
 Front-end web technologies (React, shadcn)
 Domain Driven Design
 Mathematical Aptitude, particularly statistics
 Data Engineering skills
 Experience in Agentic AI tooling
 
What we expect from our co-workers
 
Curiosity and strong desire to learn and improve.
 Social skills, being able to act as a facilitator, can balance enabling others with individual contributions.
 Time management and asynchronous communication skills relevant for a remote-first engineering organization.
 Enthusiasm and ability to work collaboratively within a team.
 Excellent spoken and written English.
 Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement.
 
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
 
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
 
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
 
Let us know when you apply if you need any assistance during the recruiting process due to a disability.

.NET Software Engineer

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
 
The Role
 
You will lead a team of data scientists developing the next generation of Genius Sports’ market leading sports models. These models act as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across a wide range of sports.
 
How will you work?
 
Lead a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.
 
We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain.
 
If you are looking to tackle hard problems, collaborate with high calibre engineers and deliver smart solutions with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.
 
As a Senior Data Science Manager, you will oversee the implementation of predictive models across many sports. You will lead your team in the development of algorithms to calculate the probabilities of sporting outcomes.
 
What skills do you have?
 
A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
 Strong leadership skills with a proven track record of successful delivery of high impact solutions to complex data science problems
 Mentoring and Staff Development
 Expert knowledge of probability and statistics
 Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems.
 Proficiency with Python or other scripting/programming languages (R, Matlab, etc)
 Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You lead conversations that drive alignment and uncover edge cases others might miss.
 Familiarity with sports rules and strategies (football, American football, basketball, tennis, ice hockey, baseball, etc.)
 
It is advantageous for you to have knowledge of the following:
 
Sports betting
 Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (Gitlab, AWS, Docker) and retraining
 Data engineering
 Rust, C++, other programming languages
 Real-time systems and/or high-performance computing
 Software System Design
 Software Development Lifecycle (SDLC)
 
What we expect from our co-workers
 
Curiosity and strong desire to learn and improve
 Social skills, being able to act as a facilitator, can balance enabling others with individual contributions.
 Time management and asynchronous communication skills relevant for a geographically diverse engineering organization
 Enthusiasm and ability to work collaboratively within a team
 Excellent spoken and written English
 Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement
 
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
 
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
 
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
 
Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Senior Data Science Manager

Join Genius Sports and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Genius Sports

About Company

.NET Software Engineer

Senior Data Science Manager