Overview
On Site
Depends on Experience
Contract - W2
Skills
Machine Learning
Modeling
Industrial
Job Details
highly skilled Data Science Resource with a strong engineering background to join our team. The ideal candidate will have experience in machine learning (ML) and predictive modeling, with a preference for those with industrial or systems engineering backgrounds.
Key Responsibilities:
- Machine Learning and Predictive Modeling: Develop and implement ML models and predictive analytics to support various projects.
- Data Modeling and Analytics: Work on analytical engineering projects, focusing on data modeling and analytics.
- Digital Farming and Decision Science: Contribute to ML and predictive projects in the digital farming and decision science areas.
- Collaboration: Collaborate with cross-functional teams to align projects and deliver high-quality solutions.
- Flexibility: Adapt to evolving project requirements and align with the company's strategic goals.
Qualifications:
- Bachelor's degree in Engineering (Industrial or Systems Engineering preferred).
- Proven experience in machine learning and predictive modeling.
- Strong analytical and problem-solving skills.
- Ability to work onsite, with flexibility for the right candidate.
- Domain knowledge is a plus but not required.
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.