Machine Learning Engineer

Job Description

• Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams • Own training, integration, deployment, versioning, and monitoring of ML components • Improve TigerEye’s existing metrics collection and analysis techniques in order to expand the range of questions TigerEye is able to explore • Build a backend customizable heuristic system to surface actionable insights • Provide quantitative rationale to inform group decision-making processes • Design and build our ML infrastructure, including integration with customer data

Qualifications

• A Graduate degree in Statistics, Applied Mathematics, or a related field • Substantial experience with statistics and data modeling • Knowledge of statistical techniques to build predictive models • Knowledge of time series analysis • Solid understanding of computer science, coding principles and algorithms • Proficiency in programming languages such as Go, Dart, and Python • Proficiency in SQL • Experience with data engineering and building an ETL pipeline • Experience with cloud computing services (AWS, GCP, etc.)

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service