Internship, Data Scientist

United States (Remote)

Applications have closed
Everstream Analytics logo

Everstream Analytics

Get in front of what’s ahead with Everstream Analytics’ end-to-end supply chain risk management solutions and learn how we help global brands avoid costly disruptions to protect profit, revenue, and reputation.

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



Everstream Analytics is looking for a Junior Data Scientist to join our Data Science team. This position will report directly to the NLP Data Scientist Lead.  As a member of Data Science, you will join a dynamic team of people focused on our next generation product. 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, Product Management, Risk Intelligence, and Marketing.


In this role, your focus will be to develop Natural Language Processing (NLP) and Natural Language Understanding (NLU) models, algorithms, simulations, and experiments that bridge operational needs with strategic vision.  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 production software environment and where the model performance was really important.

***This role is permanently Remote***

Principal Accountabilities

  • Initiate the efficient implementation of methods, tools, and algorithms for preliminary data exploration, data visualization and preparation, model training, and algorithm validation and verification using a comprehensive range of software packages and programming languages
  • Identify, retrieve, manipulate, relate and/or exploit multiple structured data and unstructured data sets from various sources
  • Interpret and evaluate the results of data science community's methods and models and/or algorithms, understanding the limitation and scope of the results
  • Respond to difficult data science-related challenges in a timely manner while effectively balancing competing priorities
  • Present information and results of analysis using data visualization techniques

 Knowledge, Skills and Abilities 

  • Bachelor of Science in Computer Science, Statistics, Mathematics, Physics, Engineering or a related field. Advanced degree is preferred.  Equivalent work experience is also acceptable.
  • 1-3 years’ experience in building and delivering predictive analytics models using advanced machine learning algorithms and techniques such as: classification, outlier detection, clustering, boosting, and neural networks.
  • Good scripting and programming skills with experience using Python and other packages for data analysis
  • Practical knowledge in applying NLP and NLU concepts such as Topic Modelling, Topic Classification, Named Entity Recognition
  • Experience with analytical development tools including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, and Spacy.
  • Self-starter with a curious attitude and a willingness to learn and master new technologies.
  • Ability to act easily in a global environment, with understanding of cultural differences and behavior.
  • Ability to clearly communicate technical results to both technical and non-technical audiences

Desired skills

  • Experience with entity resolution products or a background in data matching theory and technologies.
  • Experience with more recent NLP techniques, such as Transformers or Hugging Face models
  • Proficiency in using query languages such as SQL, Hive, and Pig with experience in a Big Data environment.
  • Experience developing applications in AWS.

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.  Our culture is cultivated from resiliency, responsiveness and critical thinking and are integrated into every aspect of what we do. If you share in our passion to revolutionize the supply chain industry with disruptive technology, we want you to fast-forward your career at Everstream Analytics.

* Salary range is an estimate based on our salary survey at

Tags: AWS Big Data Classification Computer Science Data analysis Data visualization Engineering Machine Learning Mathematics Model training NLP NumPy Pandas Physics Python PyTorch Scikit-learn spaCy SQL Statistics Transformers Unstructured data

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  100  33  0
Category: Data Science Jobs

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.