Data Scientist

About Us

Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world.

From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place.  

Grow a Career. Build a Future!

Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.

Job Purpose

Develop and enhance data-driven solutions, leveraging diverse data sources and advanced technologies like Machine Learning and Computer Vision, to drive informed decision-making and innovation in agriculture. Join our team efforts to create cutting-edge agricultural solutions that address real-world challenges, collaborating with cross-functional teams and stakeholders to ensure seamless integration and effective deployment. 
 

Key Responsibilities

• Develop and enhance analytic tools: Create and refine data-driven solutions that provide actionable agronomic insights to customers and engineering teams, driving informed decision-making
• Harness diverse data sources: Leverage a wide range of data, including time-series logs, geospatial information, and images, to inform and improve analytic tools and agricultural solutions. 
• Design and develop innovative agricultural solutions: Apply Machine Learning and Computer Vision techniques to create cutting-edge solutions that address real-world challenges in agriculture. 
• Collaborate     with cross-functional teams: Work closely with internal teams and external partners to understand data needs and develop new products 
• Support field testing and deployment: Participate in field tests, gather data, and prepare software for     installation, ensuring seamless integration and effective deployment. 
• Inform strategic planning with data insights: Analyze existing data to uncover future trends and opportunities, informing strategic decision-making and planning. 
• Ensure data quality and integrity: Work with data engineers to identify and address quality issues, developing and implementing processes to maintain high-quality data. 
• Strong problem-solving and analytical skills: Demonstrate expertise in problem analysis, critical thinking, and creative problem-solving. 
• Communicate insights and recommendations: Prepare and present technical reports, providing actionable recommendations to stakeholders and driving business outcomes.  

Experience Required

• Educational background: Bachelor's degree in Agricultural Engineering, or a related field, and a Master's degree in Data Science or a related field. 
• Professional experience: 1+ years of relevant work experience in data analysis for precision agriculture application or a related field. 
• Strong mathematical and statistical foundation: Demonstrate proficiency     in mathematical and statistical concepts. 
• Proficient in analytical coding: Skilled in programming languages such as Python, SQL, and Shell Scripting, with the ability to write efficient and effective code. 
• GIS expertise: Proficient in Geographic Information Systems (GIS) software,     preferably QGIS, with experience in spatial data analysis and visualization. 
• Data visualization: Experience with Plotly Dash or similar dashboarding solutions, with the ability to create interactive and informative visualizations. 
• Self-motivated and driven: Demonstrate a strong work ethic, with the ability to work independently and as part of a team to achieve common goals. 

Preferred Qualifications

• Data visualization and reporting: Experienced in using PowerBI or similar platforms to create interactive and informative dashboards and reports. 
• Computer vision capabilities: Familiarity with OpenCV and/or other computer vision libraries, with     experience in image and video processing. 
• Software development best practices: Good understanding of software development principles, including version control systems (e.g., Git), code reviews, and collaborative development methodologies. 
• Cloud-based infrastructure: Familiarity with cloud-based infrastructure, including SQL and NoSQL databases, modern data warehouse solutions, and cloud-based data processing tools. 
• Linux: Familiarity with Linux operating systems. 

What We Offer

At CNH, our people are at the heart of everything we do. That’s why we offer a comprehensive benefits program designed to support your health, well-being, and long-term success. From competitive compensation to flexible work arrangements and opportunities for continuous development, our benefits reflect our commitment to creating an environment where employees feel supported and empowered—both personally and professionally. We believe that when you’re given the tools to thrive, you can drive meaningful impact. At CNH, you’ll not only find the resources to succeed today—you’ll find the foundation to grow a career and build a future.