Product Scientist

Key Skills

Continuous Integration & Continuous Delivery - CI/CD, Data Analytics, Data science techniques, Github, Leadership Skill, Machine learning techniques, Python Programming, SQL

Job Description

Swish Analytics is looking for a Research & Experimentation Scientist, to join our ever-growing team! Science is at the core of our business, and our Research & Experimentation branch works to create enhancements for future generation products, scale internal tools as our team and customers continue to grow, and set the stage for making big bets on new products and features. This is a great opportunity to work with thought leaders in the Sports Data space to create new and transformative products.

Duties:

• Accelerate progress on our sports betting algorithms and models for increased accuracy and state of the art performance.
• 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

Base salary: $133,000-175,000