Data Scientist with full stack developer skills.

Dimitra:

We plan on becoming a leading provider of data analytics for precision agriculture. We develop various types of data science models and deploy them as apps for agriculture.

Position Overview:

We are looking for a hard working data scientist with full stack developer skills to deploy our data science models/apps and develop their frontends (react.js or next.js) and backends (python). This jr. developer will also work on developing machine/deep learning models.

Responsibilities:

• Develop RESTful APIs using Python deployment stacks..
• Integrate third-party APIs and external services to our applications.
• Design and implement data models and database schemas.
• Deploy data science apps and develop their frontends.
• Deploy in cloud environments, including AWS and Google Cloud Platform.
• Implement monitoring, logging, and alerting mechanisms to ensure performance.
• Work on a wide variety of data science (machine/deep learning) projects. 

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 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 as well as skills in the following:
• RESTful APIs development using Python deployment stacks.
• Database technologies (e.g., SQL, NoSQL) and design of efficient data models.
• Cloud platforms (AWS, Azure, GCP) and deploying applications in containerized environments (Docker, Kubernetes).
• DevOps practices and tools for CI/CD automation (e.g., Jenkins, GitLab CI/CD).
• Machine learning model development, deployment, maintenance 
• Machine Learning libraries and pipelines, Deep Learning, Computer Vision, LLMs, Keras/TensorFlow, PyTorch, Roboflow, Hugging Face, etc.