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Overview

At StormImpact (www.stormimpact.net), we rely on insightful data to power our systems and solutions. We’re seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. This person will work in the Research and Development team within StormImpact, supporting the development of vegetation risk and storm outage prediction models. An ideal candidate has a strong technical background in data analytics, remote sensing, and predictive modeling/machine learning with previous experience in electrical utilities and/or environmental science applications.

Responsibilities

• Solving problems with analytics and building predictive models using multiple programming languages (such as R or Python).

• Utilizing structured and unstructured datasets including geospatial, time series, and remote sensing data.

• Downscaling remote sensing data.

• Designing algorithms for building new models and expanding existing modeling capabilities.

• Evaluating model performance using validation tests.

• Working with Software Engineers to handle large-scale data and computation, storage, and model deployment.

• Presenting modeling results and analyses in an easy to interpret manner.

• Writing robust, well-documented, and well-tested software and libraries that adhere to community standards and best practices.

• Documenting and archiving models and scripts (e.g., using Git).

• Communicating methodologies, as well as leading training on various tools and applications.

Requirements and skills

• 5+ years of experience with data mining and machine-learning.

• Experience with processing and downscaling of remote sensing datasets (e.g., satellite and LiDAR).

• Advanced knowledge of Python and/or R and experience with programming environments (Linux) and relational databases (such as SQL).

• Understanding of structured and unstructured data, and experience with applying statistical concepts to real-world applications.

• Analytical mind, strong math skills, and problem-solving aptitude.

• Excellent communication and presentation skills.

• Master’s in relevant field (Computer Science, Engineering, Geoscience, etc.); graduate training in Data Science or similar field is preferred.

• Remote work available