The Role
You will join a team of data scientists developing the next generation of Genius Sports’ market leading sports models.These modelsact as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across awiderange of sports.
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, Data Scientists, QAEngineersand a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.
Weoperatein a squad model to allow focus on the business top priorities, allowing exposure across multiple products while stillmaintainingstrong ownership of your team’s domain.
If you are looking to tackle hard problems, collaborate withhigh calibreengineers and deliver smart solutions with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.
As aSeniorDataScientist,you and your team willplaya major rolein developing and implementing predictive models across all major sporting codes.You will prototype, implement,evaluateand optimize algorithms tocalculate theprobabilities of sporting outcomes.
What skills do you have?
A BSc,MScor PhD inData Science,Mathematics,Computer Science,Computational Statistics, Machine Learning orotherSTEMsubject
Expertunderstandingof probability and statistics fundamentals
Proficiencywith Python or other scripting/programming languages (R,Matlab, etc)
Expertisein a broad range ofdata science /machine learning algorithms (Monte Carlo simulation, neuralnetworks, logistic regression, random forest, etc.)withaproventrack recordof delivering solutions to complex problems.
Abilitytobring 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.
Mentoringofotherteam members,helping them develop their skills and deliver effectively
It isadvantageousfor you to have knowledge of the following:
Sports rules and strategies
Sports betting
Machine Learning Operations (MLOps) covering the fulllife cyclefrom model creation, deployment (Gitlab, AWS, Docker) and retraining
Data engineering
Rust, C++, other programming languages
Real-time systems and/or high-performance computing
What we expect from our co-workers
Curiosity andstrong desireto 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,connectand learn together. Our hybrid working models differ depending on your role and location. Occasional travel may berequired.
As well as a competitive salary and range of benefits,we’recommitted to supporting employee wellbeing and helping you grow your skills,experienceand career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.One team, being brave, driving change
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.
Let us know when you apply if you need any assistance during the recruiting process due to a disability.
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