Overview
On Site
Hybrid
USD 70.00 per hour
Full Time
Skills
Recruiting
Marketing Operations
Computer Vision
Robotics
Analytical Skill
Data Analysis
Python
Programming Languages
OpenCV
TensorFlow
PyTorch
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Data Processing
Communication
Motivation
Image Processing
Remote Sensing
Decision-making
Analytics
Image Analysis
Statistics
Machine Learning (ML)
Deep Learning
CGI
Modeling
Code Review
Documentation
Collaboration
Data Science
Job Details
Date Posted: 09/16/2025
Hiring Organization: Rose International
Position Number: 488623
Industry: Biotech
Job Title: Data Scientist
Job Location: Creve Coeur, MO, USA, 63141
Work Model: Hybrid
Work Model Details: 3 Days Onsite, 2 Days Remote
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 70.00
Max Hourly Rate($): 75.00
Must Have Skills/Attributes: AWS, Communications, Tensorflow
Experience Desired: Strong understanding of machine learning and deep learning frameworks and statistical concepts (7 yrs); cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) (7 yrs); Proficiency in Python or other high-level programming language (7 yrs)
Required Minimum Education: Master's Degree
Preferred Education: Ph.D / Doctorate
**C2C is not available**
Job Description
Qualifications:
- Ph.D. in Data Science, Computer Vision, Machine Learning, Imagery, or Robotics; or MS with 4+ years of post-MS experience in a related field.
- Experience working with imagery and deriving insights from it (such as remote sensing data and phenotyping imaging). Familiarity with analytical techniques specific to image analysis is essential; experience in plant phenotyping image analysis is a significant advantage.
Skills:
- Strong understanding of machine learning and deep learning frameworks, statistical concepts, and data analysis techniques.
- Proficiency in Python or other high-level programming languages with hands-on experience using machine learning and deep learning libraries (e.g., OpenCV, TensorFlow, PyTorch).
- Familiarity with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) for data processing and model deployment.
- Excellent communication skills with the ability to explain technical concepts to non-experts.
- High sense of ownership and motivation to deliver valuable analysis.
Job Summary:
We are seeking a highly skilled and experienced individual to join our dynamic team as a Data Scientist. This role requires a strong background in machine learning, deep learning, and image processing, particularly with imagery such as remote sensing and plant phenotyping imaging. The successful candidate will utilize advanced techniques to develop predictive models that drive data-informed decision-making in Client agricultural operations. Collaboration with scientists from various disciplines, as well as IT and engineering professionals, will be essential to deliver innovative analytics that align with our mission of "Health for all and Hunger for none."
Responsibilities:
- Leverage expertise in image analysis, statistical analysis, machine learning, and deep learning models to analyse complex imagery data and develop actionable insights for agricultural operations.
- Write comprehensive model documentation detailing problem formulation, modelling approach, validation, data requirements, and implementation steps.
- Adhere to data science best practices, including peer review, code review, documentation, coding standards, and ensuring reproducibility.
- Build cross-functional relationships to partner with business stakeholders and collaborate with Client Data Science community to co-develop innovative solutions.
- Communicate results to key stakeholders clearly and compellingly.
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 488623
Industry: Biotech
Job Title: Data Scientist
Job Location: Creve Coeur, MO, USA, 63141
Work Model: Hybrid
Work Model Details: 3 Days Onsite, 2 Days Remote
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 70.00
Max Hourly Rate($): 75.00
Must Have Skills/Attributes: AWS, Communications, Tensorflow
Experience Desired: Strong understanding of machine learning and deep learning frameworks and statistical concepts (7 yrs); cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) (7 yrs); Proficiency in Python or other high-level programming language (7 yrs)
Required Minimum Education: Master's Degree
Preferred Education: Ph.D / Doctorate
**C2C is not available**
Job Description
Qualifications:
- Ph.D. in Data Science, Computer Vision, Machine Learning, Imagery, or Robotics; or MS with 4+ years of post-MS experience in a related field.
- Experience working with imagery and deriving insights from it (such as remote sensing data and phenotyping imaging). Familiarity with analytical techniques specific to image analysis is essential; experience in plant phenotyping image analysis is a significant advantage.
Skills:
- Strong understanding of machine learning and deep learning frameworks, statistical concepts, and data analysis techniques.
- Proficiency in Python or other high-level programming languages with hands-on experience using machine learning and deep learning libraries (e.g., OpenCV, TensorFlow, PyTorch).
- Familiarity with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) for data processing and model deployment.
- Excellent communication skills with the ability to explain technical concepts to non-experts.
- High sense of ownership and motivation to deliver valuable analysis.
Job Summary:
We are seeking a highly skilled and experienced individual to join our dynamic team as a Data Scientist. This role requires a strong background in machine learning, deep learning, and image processing, particularly with imagery such as remote sensing and plant phenotyping imaging. The successful candidate will utilize advanced techniques to develop predictive models that drive data-informed decision-making in Client agricultural operations. Collaboration with scientists from various disciplines, as well as IT and engineering professionals, will be essential to deliver innovative analytics that align with our mission of "Health for all and Hunger for none."
Responsibilities:
- Leverage expertise in image analysis, statistical analysis, machine learning, and deep learning models to analyse complex imagery data and develop actionable insights for agricultural operations.
- Write comprehensive model documentation detailing problem formulation, modelling approach, validation, data requirements, and implementation steps.
- Adhere to data science best practices, including peer review, code review, documentation, coding standards, and ensuring reproducibility.
- Build cross-functional relationships to partner with business stakeholders and collaborate with Client Data Science community to co-develop innovative solutions.
- Communicate results to key stakeholders clearly and compellingly.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.