What we do:

Uptake is the premier Industrial AI company, providing a predictive analytics SaaS platform that empowers major industry leaders to optimize performance, reduce asset failures, and enhance safety. At Uptake, we combine our strengths — machine learning, analytics, data visualization, and software development — to deliver actionable insights that make industry more reliable, productive, safe and secure.

What Data Scientists Do Here: 

Data science is at the core of what we do at Uptake. We collaborate with engineering, product, and other teams to contribute insights and data science best practices to all parts of the business.

Typical day to day tasks for a data scientist might include:

  • Collaborating with teams to analyze problems.
  • Learning a new programming language or data science technique - we continually build our skills and explore new things.
  • Building, testing, and deploying supervised or unsupervised learning models.
  • Writing data analysis reports for internal use.
  • Building tools to enable other data scientists to scale their knowledge and increase impact.
  • Working with customers to develop analyses that help them solve business problems and drive value.

What We Are Looking For:

  • Bachelor's degree or higher in a relevant field
  • Passion for data science! We want candidates who love data science and are excited about what they do.
    • Some ways previous successful candidates have demonstrated this are by: 
      • Writing relevant blog posts and/or articles.
      • Participating in relevant online communities.
      • Expressing detailed knowledge of and genuine interest in Uptake’s unique methods, products, data, and technology within a cover letter.
  • Ability to write sophisticated machine learning and data analysis code in Python or R
    • Some ways previous successful candidates have demonstrated this are by:  
      • Contributing to influential Open Source Projects like sklearn, XGBoost, tidyverse, Tensorflow, pytorch, Kafka, Spark, Elasticsearch etc.
      • Describing a data science model they developed that is deployed in a live setting within a resume or cover letter.
      • Making a high quality data science project available in a public forum like GitHub or Kaggle.
      • Publishing work in Data Science related journals or conferences such as ICML, NIPS, JML, KDD, and INFORMS.
  • Experience communicating effectively with people at all levels of an organization. Our data scientists regularly share complex insights with all kinds of people.
    • Some ways previous successful candidates have demonstrated this are by: 
      • Teaching data science to non-data scientists in an academic or professional setting.
      • Elaborating in a cover letter or resume ways that they have professionally collaborated with others in the organization and the impact that collaboration had on the organization’s KPIs.

Nice to Have:

  • 2+ years professional experience working in an analytics focused role
  • Experience working with IoT systems, ranging from DIY home projects to industrial IoT deployment
  • Substantive contributions to open source projects in the areas of data science or machine learning
  • Experience developing software projects with large teams using collaboration tools like git and Jira
  • Experience with CI/CD tools like Docker and Jenkins
  • Master’s degree or PhD in a relevant field
  • Experience working in one of the following industry areas:
    • Industrial technology
    • Agriculture
    • Mining
    • Energy
    • Transportation

Applicants must be authorized to work in the U.S.

Uptake welcomes and encourages applications from all individuals, without regard to any prohibited ground of discrimination, including from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process.


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