Uptake is the actionable insights platform that makes the world more productive, safe, secure and reliable. We create products and solutions to achieve measurable results and outcomes to enable insight and predictive analytics across key industries by leveraging a common platform.

Data Scientist - Weather Specialist at Uptake
What We Do:

Uptake is a Chicago-based predictive analytics SaaS platform provider 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—with the expertise of our industrial partners. The result is enormous savings in development time and resources for Uptake’s partners and a proven industrial grade software platform that delivers value to partners and their end customers.

What You'll Do:

As a Weather Specialist on the Data Science team, you’ll collaborate across teams to build Uptake’s suite of cutting-edge weather tools. The tools you create will help to generate weather analytics to be used by our partners across multiple industries. The ideal candidate has a background in statistical analysis and meteorology. 

Responsibilities:
  • Lead the development of Uptake’s weather analytics tools
  • Generate weather analytics research to tackle industry problems
  • Write codes and scripts to build and visualize atmospheric datasets
  • Build and test computing models
  • Implement machine learning algorithms
  • Work with software developers and implementation engineers to specify operational implementation of databases, models and algorithms
  • Perform web scraping
  • Write technical reports
  • Participate in job-related training events
Qualifications:
  • Graduate degree in meteorology, statistics, computer science or related field
  • Experience working with large meteorological datasets
  • Knowledge of Python and shell scripting
  • Experience with signal processing, geospatial analysis and/or ensemble prediction
  • Familiarity with any or all of the following techniques: Lasso and Ridge regularization, ensemble methods, time series analysis, Bayesian inference, Gaussian process, optical flow
  • Ability to frame problems, learn quickly and execute independently
  • Solid communication skills
  • Comfortable working in an entrepreneurial environment

Preferred skills:

  • Experience contributing to open source software
  • Demonstrated project experience as shown on Github or a personal website

Company Reviews

What binds us is a passion for tackling hard problems and having a lot of fun along the way.
Nick Singh
UX Researcher
at Uptake
We have access to resources the moment we need them, and we can tap into an amazing talent pool at a moment’s notice.
Brad Nicholas
Lead Innovation Architect
at Uptake
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Perks & Benefits
Health/dental/vision coverage
401(k) match
Open PTO policy
Parental leave
Commuter benefits
Speaker series
Lunch stipend
Happy hours

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