We keep the world moving by keeping risk out of the way.

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

JOIN OUR TEAM

Our company delivers operational supply chain insights based on data and predictive analytics. Everstream Analytics is looking for a Data Scientist to join our Data Science (DS) team, reporting to the Director of Solutions Engineering. You will join a dynamic team of people focused on our next generation of products. We have an exciting opportunity to help shape how we use data to build models and generate actionable insights to give our customers a risk aware supply chain which will advance outcomes for the business and the industry. This role will partner closely with Product Development, Customer Success, Product Management, Risk Intelligence, and Marketing.

POSITION OVERVIEW

As a Data Scientist at Everstream Analytics, your focus will be to implement models, algorithms, experiments and deployable code that bridge operational needs with strategic vision. The focus of the position is working on logistics insights on shipment data to produce insights on the paths of and risks to cargo movement worldwide. You will learn current processes, build data backed solutions, automate solutions, launch your work to production, and audit implementation. In the simplest terms, we want candidates who have experience building models to solve real industry problems that have been deployed in a real production software environment and where the model performance was really important.

Required Skills and Experience

Bachelor of Science in Computer Science, Statistics, Mathematics, Physics, or related field.
3+ years experience in building and delivering predictive analytics models using advanced machine learning algorithms and techniques such as: classification, outlier detection, clustering, and boosting.
Good scripting and programming skills with experience using Python and other packages for data analysis.
Practical knowledge in applying modeling concepts such as graph algorithms, optimization, time series, classification, etc.
Experience with analytical development tools including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, and LightGBM.
Database knowledge/ experience: PostgreSQL or other open source/ Relational Databases.

Bonus Skills

Advanced Degree (PhD, MS, or GradCert).
Supply-Chain and Transportation Industry Experience.
Domain experience: Supply Chain, Logistics, Risk Mgmt, ESG, Sustainability, Weather & Climate.
Proficiency in using query languages such as SQL with experience in a Big Data environment.
Experience developing applications in AWS.
Experience in a Software Development Environment.
Full Stack Data Science: full deployment process of a model.
Real models deployed to solve real problems.

Applicants must be currently authorized to work in the Canada on a full-time basis.

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.

Data Scientist

Everstream Analytics

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