THE OPPORTUNITY
Background from Client
Our client used Equipment Price Modeling Tool aims to provide dealers with better knowledge and insight to more accurately price individual models on their sales lots and make better decisions about when to sell equipment in their fleets.
The application uses data available to our client about Used Equipment pricing for their dealers to deliver dashboards, and pricing algorithms to aid decision making and convey complex data in ingestible formats to their dealer network and internal teams; this has allowed to use Equipment Team to provide pricing estimates reliably and repeatedly for individual equipment types and dealers’ fleets Price data from a range of data sources (e.g. auction sites) over time (6+ years) is ingested and analyzed through a pipeline in AWS. The pipeline cleanses the incoming data, imputing missing fields where possible, and validating, and transforming inputs against master data for serial numbers, product type,s, and global markets; outliers are removed and prices are adjusted for inflation, thus creating a consolidated data set of pricing information for our client used equipment. This data is used to train algorithms to estimate equipment price based on usage and age; and a pricing - index overtime for different equipment models.
What They need
A Data Scientist to join the team who also has the following skillsets:
● Familiarity with Linux command line/ GNU Coreutils
● git/ version control
● python (not just pandas/ Jupiter) and docker
● continuous-integration (in this case dev.azure.com)
● AWS (there’s a lot there but some basic familiarity is sufficient)
Our client need candidates with ideally 10 years+ with strong agile/XP practices including TDD and pair programming
Apply Now!
Contract: 40h/week - Freelance - REMOTE Rate: $100 - $130 Location: US only (No C2C) The Team Consulting whose goal is to build an environment and culture of continuous innovation to drive profitable revenue through the incubation of breakthrough ideas in IP assets based businesses and markets. Innovations and Platforms houses prototyping, development and maintenance capabilities for a product portfolio that spans multiple software technologies including wearables, machine learning, ad...