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Data Scientist (Agronomy)

Schaduf
Maadi, Cairo
Posted 5 years ago
37Applicants for1 open position
  • 13Viewed
  • 9In Consideration
  • 3Not Selected
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Job Details

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Job Description

At Schaduf, data scientists will be work on large-scale applications related to water consumption patterns and water savings in agriculture.

As a data scientist, you will evaluate and improve Schaduf's products. You will collaborate with a multi-disciplinary team of engineers and analysts. This position will bring creative analytical rigor and statistical methods to the challenges of improving consumer products, forecasting water consumption and understanding correlations between weather patterns and plant growth.

Responsibilities

  • Work with complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, and presentations.
  • Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to Schaduf products.
  • Research and develop analysis, forecasting, and optimization methods to improve the quality of Schauf's products.

Job Requirements

Minimum qualifications:

  • MS degree in a quantitative discipline (e.g., statistics, operations research, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
  • 2 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / computational biologist)
  • Experience with statistical software (e.g., R, Julia, MATLAB, pandas) and database languages (e.g., SQL).
  • Applied experience with machine learning on large datasets.
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem.
  • Demonstrated effective written and verbal communication skills.
  • Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.

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JobsIT/Software DevelopmentData Scientist (Agronomy)