Engineer Data (Backfill)

Everstream Analytics risk scores and predictive insights set the world’s supply chain standard, helping global companies turn supply chains into business-changing, market-shifting, competition-crushing assets. Removing the traditional blinders of traditional data – we offer more complete information, sharper analysis, and accurate predictions. Companies like Google, Schneider Electric, Unilever, and Campbell’s rely on Everstream Analytics to push their supply chains to be faster, smarter, safer, and sustainable!
What Matters Most to Everstreamers
Doing our best, no matter what challenges lie in front of us. We’re sharp, focused, determined, and as a team, we’re unstoppable. Of course, we have values like “integrity” and “honesty”—that’s a given—but our core values run deeper:
Audacity | We are bold. We break through the status quo and do what others haven’t, can’t or won’t
Grit | We get the job done and keep going, so our customers can do the same
Optimism | We have a can-do attitude, and instead of saying “no”, we figure out how
Virtue | We do what’s right, the right way—especially when it’s difficult
Solidarity | When we celebrate each other and our differences, we all do better

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. 
Data scientists will get exposure to a wide range of datasets including shipping, supplier, news, and  incident data. They will work with the team to build models and pipelines to solve industry problems that  will be deployed in a production software environment. They will become familiar with graph database  technology and how to query the graph to find relationships of interest to customers.
Thanks to our remarkable people we are at the forefront of change and bringing cutting-edge products and services to market. We focus on growth, so our people, our business, and our customers can achieve their full potential.  It takes determination, focus, and resilience to scale a high-growth, global business. We're looking for people intrinsically driven to create, build, solve, and push boundaries to deliver the unrivaled innovation and service our clients know and love. Everstreamers aren't afraid of ambiguity, changing priorities, shifting org structures, or pivoting to new strategies. They thrive on change and put in the effort to achieve the seemingly impossible. It isn't always easy, but it's always worth it. Does this sound like you? Grow your career at Everstream.