Senior Data Scientist

Job Description

• Build, improve, and maintain machine learning models • Apply statistical models and quantitative analysis on large datasets to measure and identify areas for improvement/optimization in the product • Lead the effort for collection of new data and refinement of existing data sources • Identify and help implement tools to analyze this data effectively • Educate and steer the organization towards adopting a more data-driven approach

Qualifications

• Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics • 5+ years experience in data science, machine learning, and data analysis • Expertise in applied probability and statistics • Deep understanding of machine learning techniques and algorithms • Experience designing and building data pipelines (ex. ML training pipelines, ETL workflows) • Experience with telematics and sensor data (ex. GPS, IMU) and embedded systems is a big plus • Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a big plus

Benefits

• health, pharmacy, optical and dental care benefits • paid time off • sick time off • short term and long term disability coverage • life insurance • 401k contribution (all benefits are subject to eligibility requirements)