Data Scientist with remote sensing and plant phenotyping imaging

Dice is the leading career destination for tech experts at every stage of their careers. Our client, GLOBAL IT CON LLC, is seeking the following. Apply via Dice today!

Position Overview

We are seeking a highly skilled and experienced Data Scientist with a strong background in

machine learning, deep learning, and image processing to join our dynamic team. The ideal

candidate will have proven track record of working with imagery (such as remote sensing and

plant phenotyping imaging) and will utilize advanced machine learning/deep learning techniques

to develop predictive models using this imagery.

In this role, you will collaborate closely with scientists from various discipline as well as IT and

engineering professionals, to deliver innovative analytics. Your expertise will play a critical role

in driving data and analytics driven informed decision making in agricultural operations.

Data Science:

• You will leverage your expertise in image analysis, statistical analysis, machine learning,

and deep learning models to analyze complex imagery data, developing actionable

insights that drive agricultural operations.

• You will write comprehensive model documentation detailing problem formulation,

modeling approach, validation, data requirements, and implementation steps.

• You will adhere to data science best practices, including peer review, code review,

documentation, coding standards, and ensuring reproducibility.

Collaborate and Communicate

• You will build cross-functional relationships to partner with the business stakeholders

and collaborate with Data Science community to co-develop innovative

solutions.

• You will communicate results to key stakeholders in a clear and compelling manner.

We would expect from you:

• Experience: You have Ph.D. (or MS with 4+ years of post-MS experience) in one of the

following areas: Data Science, Computer Vision, Machine Learning, Imagery and

Robotics.

• Imagery Experience: You have experience working with imagery and deriving insights

from imagery (such as remote sensing data and phenotyping imaging). Familiarity with

analytical techniques specific to image analysis is essential, and experience in plant

phenotyping image analysis is a significant advantage.

• Deep learning and Machine Leaning: You possess a strong understanding of machine

learning and deep learning frameworks, statistical concepts, and data analysis

techniques. Demonstrated proficiency, experience in using image labeling tools and

applying machine learning and deep learning methods to image data is highly desirable.

• Cloud Computing: You have familiarity with cloud computing platforms (e.g., AWS,

Google Cloud Platform, Azure) and understand how to leverage these tools for data

processing and model deployment.

• Programming: You are proficient in Python or other high level programming language

with hands on experience in using machine learning and deep learning libraries (eg.,

OpenCV, TensorFlow, PyTorch etc). You are adept at writing clean and maintainable

code and adhere to coding best practices, including version control using Github.

• Soft skills: You have a high sense of ownership and are motivated to deliver valuable

analysis. You have excellent communication skills and can clearly explain technical

concepts to non-experts.