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Product Development Engineer
1 month ago
Swish Analytics is a sports analytics, betting, and fantasy startup that's revolutionizing the industry with cutting-edge predictive sports analytics data products. We're on a mission to make oddsmaking a challenge rooted in engineering, mathematics, and sports betting expertise, rather than intuition.
We're seeking a highly skilled Product Engineer to join our team of innovators. As a Product Engineer, you'll play a crucial role in developing and delivering effective machine learning and statistical products that serve business needs.
Key Responsibilities:
- Expand utilization and adoption of existing models and accelerate adoption of commonly used proprietary frameworks.
- Establish and refine KPI's and OKR's for scaling and accelerating the product offerings.
- Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
- Keep up to date with new approaches to inferential statistics, sampling, and experimental design.
- Examine the integration and scaling of our real world operations, simulations, experiments, and demonstrations.
- Expert Python developer using many different machine learning and data science frameworks.
- Provide risk management guidance on methods for assessing and mitigating risk.
- Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists.
- Adhere to software engineering best practices and contribute to shared code repositories.
Requirements:
- Bachelor degree in Computer Science, Applied Math, Data Analytics, Data Science or related technical subject area; Master degree highly preferred.
- 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical products to serve business needs.
- Knowledge in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods.
- Advanced Python & SQL.
- Experience with source control tools such as GitHub and related CI/CD processes.
- Experience working in AWS environments.
- Proven track record of strong leadership skills; Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions.
- Excellent communication skills to both technical and non-technical audiences.
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law.
