DATA
SCIENTIST

Applying the principles of engineering to software development. Their role includes analyzing and modifying existing software as well as designing, constructing and testing end-user applications that meet user needs — all through software programming languages.

LOCATION

South Bend, IN - San Salvador, El Salvador

EMPLOYMENT TYPE

Permanent

What You’ll Do

  • Remote Sensing : You are an expert in working with remotely sensed images. You have deep understating of images from different satellite constellations and experience extracting insights from satellite imagery.

  • Programming: You are proficient in Python or other high level programming language. You are also capable of writing clean code.

  • Machine learning & Statistics: You have good understanding of the modeling strategies, limitations and pitfalls of commonly used machine learning algorithms. You are also familiar with statistical analysis of spatial data including remotely sensed images.

  • Four-year college or commensurate work experience.

  • Strong communication (verbal and written) and interpersonal skills to translate key insights from complex analyses into actionable business insights

  • Proven ability of looking at solutions in unconventional ways- seeing opportunities to innovate and leading the way- Strong proficiency in SQL- Creative in finding new solutions and designing innovative methods, systems and processes - Advanced degree in Science and Technology related field

Who You are

  • Desire to create and build new predictive/optimization tools for structuring datasets

  • Strong project management and organizational skills, experience working on complex initiatives with cross-functional teams in a dynamic environment

  • Experience with data visualization tools like Tableau and Microsoft Power BI, Data Schema, Informatica, and Matillion

  • Collect and document business requirements using: interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, user stories, use cases, scenarios, business-process and workflow analysis.

  • Critically evaluate information gathered from multiple sources and reconcile conflicts.