Principal Engineer - Data Science
Role details
Job location
Tech stack
Job description
In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
Scheduled Weekly Hours 40
Requirements
Bachelor's or foreign equivalent degree in Science, Technology, Engineering, Mathematics, Business Administration, or a related field, and 6 years of progressive, post-baccalaureate experience in the job offered or as a data engineer, data/business analyst, manager, or in a related/similar position. Experience therein to include 6 years with data management including data manipulation & cleansing, data visualization & analysis, data architecture, data modelling, simulation, and automation; supply chain and energy knowledge and tools; financial modeling, business case scenario building, project valuation, ROI analysis, and business strategy; using Python, R, SQL, Java, Excel Solver, optimization techniques, statistics and probability, Machine Learning, and AI knowledge; and communicating complex data concepts in business scenarios. In lieu of a Bachelor's or foreign equivalent degree and 6 years of progressive, post-baccalaureate experience, employer will accept a Master's or foreign equivalent degree in the fields stated above and 4 years of experience in the skill sets stated above. Hybrid role, ability to work from home.
RATE OF PAY: $173,349 to $231,000 per year.