Machine Learning /Quant Engineer - Sports Betting AI
Kambi Sweden AB / Datajobb / Stockholm
2024-12-02
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hela Sverige About Tzeract
Welcome to Tzeract! We're a startup of 20+ engineers within Kambi Group, revolutionizing sports betting with AI, advanced analytics and real-time data. Our small, hybrid, agile team is creating innovative technology that powers next-generation betting experiences. With the backing of Kambi's global resources, we'll offer the opportunity to work on complex mathematical projects that scale across international markets. Get to know us better at
www.tzeract.com.Role overview
Do you get excited about math and statistics? In this role, you'll be key to developing and refining the models that drive our AI-powered odds compiling. Your work will involve using machine learning and simulations to analyze sports data. You'll also contribute to creating reliable, well-structured code and ensuring systems are optimized for performance.
Do you have to be a sports fanatic? Of course not. As part of a team that collaborates closely with data engineers and scientists, you'll apply your mathematical expertise to enhance algorithms and share ideas for improvements. This role offers a mix of support and autonomy, requiring curiosity and initiative to solve complex problems.
What you'll do:
Collaborate with the engineering team to integrate algorithms into our production systems, ensuring they operate efficiently at scale.
Design, develop, and implement advanced mathematical models and machine learning algorithms for predictive analytics in sports betting.
Conduct statistical analysis to understand data patterns, validate models, and enhance accuracy.
Work with large-scale, real-time, and historical sports data sets, applying quantitative techniques to extract actionable insights.
Communicate complex quantitative analyses and concepts to non-technical team members to inform strategy decisions.
What we believe you have:
Master's in Mathematics, Statistics, Computer Science, Physics, Engineering, or a related quantitative field.
Experience in mathematical/statistical modeling and machine learning.
Proficiency in Python, with experience in libraries like NumPy and Pandas.
Familiarity with TensorFlow, PyTorch, SciPy, or similar machine learning frameworks.
Ability to describe reality through mathematics and implement solutions into practical applications.
Able to multitask different roles-whether it's tackling complex math problems or contributing to development tasks.
It's a plus if you have any of the following:
PhD in Mathematics, Statistics, Computer Science, Physics, Engineering, or a related field.
Open-source projects in ML or simulation, especially if relevant to the role's focus areas.
Familiarity with databases.
Note. This role is based in Stockholm, Sweden. We do not support relocation packages.
Så ansöker du Sista dag att ansöka är 2025-03-01
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Kambi Sweden AB (org.nr 556813-8589),
https://www.kambi.com/ Jobbnummer 9039328