Data Scientist - Weather Specialist
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
- Collaborate within multidisciplinary teams to build Uptake’s suite of cutting-edge weather tools
- Generate weather analytics research to tackle industry problems
- Write codes/scripts to build and visualize atmospheric datasets
- Build and test remote-sensing retrievals
- Implement machine learning algorithms
With slightly less frequency, the individual may
- Work with software developers and implementation engineers to specify operational implementation of databases, retrievals, and algorithms.
- Perform web scraping
- Write technical reports
- Participate in job-related training events
- Required:
- Experience with signal processing and geospatial analysis using weather satellites and/or radar meteorology
- Knowledge of Python and shell scripting
- Experience working with large meteorological datasets
- Ability to frame problems, learn quickly, and execute independently
- Solid communication skills
- Comfortable working in an entrepreneurial environment
- Graduate degree in Meteorology, Atmospheric Science or related field
- Experience contributing to open source software
- Familiarity with any or all of the following techniques:
- Optical flow
- Lasso and Ridge regularization
- Ensemble methods
- Time series analysis
- Bayesian inference
- Gaussian process
- Demonstrated project experience as shown on Github or a personal website
Why Work Here
We build and deliver, then explore to build more. Curiosity and flexibility enable everything we do, and we get stronger as we make each new industry smarter. As a team, we bring our diverse backgrounds, beliefs and experiences to solve problems no one has yet to solve, at a speed no one has yet to experience. We support and challenge one another to bring out a new best in each of us, and we might have a little fun along the way.