Swish Analytics

Product Engineer

Swish Analytics

full-time

Posted on:

Location Type: Remote

Location: CaliforniaUnited States

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Salary

💰 $150,000 - $190,000 per year

About the role

  • 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.
  • Proactively improve our Rust codebase
  • Source origins of data inaccuracies through data pipeline dependencies and Python code base
  • Use extensive experience to build, test, debug, and deploy production-grade components
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonRustSQLMachine LearningData ScienceInferential StatisticsBayesian StatisticsMarkov Chain Monte CarloData Processing TechniquesSoftware Engineering Best Practices
Soft Skills
LeadershipProblem SolvingCommunication
Certifications
Bachelor's Degree in Computer ScienceMaster's Degree in related technical subject area