Engineer Data (backfill) Job in Everstream Analytics

As a member of the project team, the Data Scientist will help shape how we use data to build models and generate actionable insights. The solution will give our customers a risk aware supply chain which will advance outcomes for the business. The project is focused on the identification, capture, analysis, and transformation of industry data sources to be utilized in discovering and building out a customer s sub-tier supplier network. Preferred Knowledge & Background Proficiency in Python is required. Familiarity with data transformation and modeling techniques such as Clustering, NLP, and Entity Resolution. Knowledge of probabilistic and statistical learning methods Knowledge of manufacturing, geolocation and/or customs import/export data sources. Knowledge of SPARK or location information experience. Experience in deriving and processing addresses, geocoordinates, geofencing, timestamps, shipments, or human mobility. Candidate must have experience with Big Data or Location / shipment information. Expected Tasks- While working as a data scientist/Big Data Analyst on the project team you will use your skills in: Data Exploration discovery of industry data sources to support building out industry-specific knowledge graph. Data Wrangling data quality assessment and transformation using geo-coding and NLP techniques. Exploratory Data Analysis - conducting exploratory analysis to extract insights and expose important groups, trends, and relationships in data and in the knowledge graph. Documentation report progress and communicate questions via JIRA / confluence. Analyzing and Reporting evaluating discovery results and summarizing conclusions to stakeholders.