Soccer Analytics Engineer
3 days ago
We're seeking a highly skilled Soccer Analytics Engineer to join our team at Swish Analytics. As a core member of our data science team, you will play a crucial role in developing and improving machine learning and statistical models that drive our sports betting products.
Key Responsibilities:
- Develop contextualized feature sets using domain knowledge in soccer.
- Contribute to all stages of model development, from creating proof-of-concepts to partnering with data engineering and product teams for deployment.
- Strive to constantly improve model performance through offline and online experimentation.
- Analyze results and outputs to assess model performance and identify weaknesses.
- Adhere to software engineering best practices and contribute to shared code repositories.
- Document modeling work and present to stakeholders.
Requirements:
- Masters degree in Data Analytics, Data Science, or related field.
- Demonstrated experience developing models at production scale for soccer or sports betting.
- Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.
- Minimum 3+ years of experience developing and delivering effective machine learning and/or statistical models.
- Experience with relational SQL & Python.
- Source control tools such as GitHub and CI/CD processes.
- AWS environments.
- Proven leadership skills and ability to partner with teams to solve complex problems.
- Excellent communication skills to technical and non-technical audiences.
What We Offer:
$120,000 - $160,000 base salary, encompassing multiple levels and depending on experience.
Swish Analytics is an Equal Opportunity Employer. All candidates meeting the qualifications will be considered without regard to protected characteristics.
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