Envision: Data Scientist

Candidate will develop descriptive, predictive, causal inferential, and prescriptive models, will be able to explore alternative data opportunities and cutting-edge modeling methodologies to improve existing models, should be a clear thinker and an effective communicator, able to translate technical work to a broader business audience to inform commercial decision at company.Candidate is also expected to collaborate with system integration and data warehouse engineers on data extraction and data cleaning, and work closely with the software engineering team to productize analytic application.Project Details: Commercial analytics, brand positioning, pricing, assumption management, demand forecast, and risk models.

Results will drive business decisions and significant revenue.Some maintenance work but mostly new development work.Team Dynamic/Culture: Ten-person team, growing, highly skilled, open to new ideas.MUST HAVES: Statistical and analytical sense, ability to communicate effectively, either R or Python, statistical models, model inference/ interpretation, and machine learning algorithm and package.

Creativity and initiative, critical thinking skills.Good to have: SQL, GCP, AWS, R-shiny, Dash, and operation research.Alternative Skills they would consider: Related fields where data science techniques are used, including economics/econometrics, statistics, agricultural sciences, biology, math, and physics.Requires a bachelor’s degree in a STEM or related field and 5 years of experience, or a Master’s degree in same with 3 years, or a PhD.Open to seeing someone right out of school if they have a PhD.

PhD will have experience at university, so no work experience required.