Research Scientist
4 weeks ago
Swish Analytics is seeking a highly skilled Research Scientist to accelerate progress on our sports betting algorithms and models for increased accuracy and state-of-the-art performance.
The ideal candidate will have a strong background in machine learning and data science, with experience in developing and deploying scalable models. They will be responsible for experimenting with new ideas, creating new tools, and reducing latency.
The Research Scientist will work closely with the team to examine the integration and scaling of our real-world operations, simulations, experiments, and demonstrations. They will also perform Python and Rust development using various machine learning and data science frameworks.
Key Responsibilities:
- Develop and deploy machine learning models for sports betting algorithms
- Experiment with new ideas and create new tools to reduce latency
- Examine the integration and scaling of real-world operations, simulations, experiments, and demonstrations
- Perform Python and Rust development using machine learning and data science frameworks
Requirements:
- Bachelor's degree in Data Analytics, Data Science, Computer Science, or a related technical field
- 4 years of experience developing machine learning and statistical models
- Experience with Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods
- Experience with simulation-based production-grade software and distributed deployment systems
- Experience with data storage (AWS EFS) and cache-based data-lookup (ElasticCache, LMDB)
What We Offer:
- Competitive salary range: $160,000 - $199,500 per year
- Full-time position
- Opportunity to work with a talented team of data scientists and engineers
Swish Analytics is an Equal Opportunity Employer.
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