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via ats_greenhouse · 8 June 2026 ·5 days ago

Data Scientist

geniussports

London

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<div class="content-intro"> 
 </div>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. <a href="https://www.geniussports.com/about-us/">Learn more at geniussports.com.</a>  
The Role 
You will join 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? 
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, 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 Data Scientist DS3 you and your team will play a major role in developing and implementing predictive models across all major sporting codes. You will prototype, implement, evaluate and optimize algorithms to calculate the probabilities of sporting outcomes. 
 What skills do you have? 
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject </li>
</ul>
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1">A strong understanding of probability and statistics fundamentals </li>
</ul>
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1">Proficiency with Python or other scripting/programming languages (R, Matlab, etc) </li>
</ul>
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1">Experience with data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) </li>
</ul>
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1">Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You contribute effectively to conversations that drive alignment and uncover edge cases others might miss. </li>
</ul>
 It is advantageous for you to have knowledge of the following: 
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Sports rules and strategies </li>
</ul>
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1">Sports betting </li>
</ul>
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1">Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (Gitlab, AWS, Docker) and retraining </li>
</ul>
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1">Data engineering </li>
</ul>
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1">Rust, C++, other programming languages </li>
</ul>
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"·","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1">Real-time systems and/or high-performance computing </li>
</ul>
 What we expect from our co-workers 
<ul>
<li data-leveltext="·" data-font="Symbol" data-listid="3"

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