Junior Data Scientist with Strong Software Development Skills

Junior Data Scientist with Strong Software Development Skills

DIMITRA

We plan on becoming a leading provider of data analytics for precision agriculture. We collect data using various methods and devices, we integrate it and perform analytics, to maximize the productivity and profitability of small/large farmers worldwide.

ESSENTIAL DUTIES:
 Work on a wide variety of projects including machine learning of structured data, and deep learning of classifications, regressions, clusterings, object detection and segmentations of image and LLMs
 Collect, process/transform and simulate datasets relevant to agriculture.
 Apply statistical analytics and/or machine learning and/or deep learning techniques to design, code, deploy and maintain predictive models to ultimately maximize crops yields and profits.
 Create visualizations to derive insights, alerts, and recommendations for farmers.
 Model relationships between geospatial data and measurable phenomenologies.

EDUCATION

BS or MS/PhD in science or engineering.

PREFERRED EXPERIENCE (ANY FEW ITEMS IS A BIG PLUS)

Programming, machine/deep learning algorithms and modeling with geospatial data
 Software development, algorithmic scripting and modeling, including Flask, Django, gunicorn, nginx, git, Docker, AWS services, Raster.io, and Next.js / React.js and security would be a big plus
 Machine learning model development, deployment, maintenance for agricultural systems; crop phenology and agricultural life cycles, weather and impact on production

Satellite and/or drone imagery for agricultural applications, geospatial datasets
 Satellite remote-sensing data processing (particularly Landsat, Sentinel-1&2 and MODIS)
 Large and noisy geospatial datasets imagery and processing with GIS software
 Drone data interpretation and predictions by using machine learning image algorithms
 PREFERRED KNOWLEDGE (ANY FEW ITEMS IS A BIG PLUS)
 Strong software development and/or algorithmic scripting skills, including Flask, Django, gunicorn, nginx, git, Docker, AWS services, Raster.io, and Next.js / React.js and security would be a big plus
 Machine Learning libraries and pipelines, Deep Learning, Computer Vision, LLMs, Keras/TensorFlow, PyTorch, Roboflow, Hugging Face, etc.
 Designed, trained, deployed and maintained models in production
 Statistical and non-statistical methods of hyperspectral image analytics,