Senior Data Scientist

Senior Data Scientist

Hybrid - West Des Moines, IA | Full-Time

Within TZAI, your ideas won’t sit in research notebooks — they’ll become real-world machine learning solutions used by industry leaders to make smarter, faster decisions.

We’re Looking for an ‘A’ Player

We are looking for a driven, curious, and talented Senior Data Scientist to join our growing TZAI team and help deliver new data products for our customers. Data is at the heart of everything we do, and you will be able to make an immediate impact for our company! This role will be responsible for developing cutting-edge predictive analytics and machine learning models to help our customers make better, data-driven decisions. There is significant room for you to develop models and analytics ranging from time-series forecasting to Generative AI to computer vision. You will regularly work with our customers, designers, and engineers to build products used by leaders across the agriculture industry. You will have the unique opportunity to work across the entire data product lifecycle from customer discovery, exploratory data analysis, model development, and model deployment. If you have always wanted to spend more time experimenting and building, then this is the place for you!

Responsibilities:

• Through exploration and experimentation, identify opportunities to solve customer problems using machine learning and predictive analytics
• Experiment, build, test, and deploy machine learning models and other analytic solutions
• Develop and maintain processes for continuous model evaluation, testing, and re-training

What will set you apart?

• A track record of shipping agentic products in production
• Experience developing & deploying machine learning models in Databricks
• Previous Data Science experience in the agriculture and heavy equipment industry
• Strong ability to communicate technical information and develop products for a non-technical audience
• A bias towards action, ability to rapidly prototype, and routinely seek feedback
• A desire to work with a small, agile team

Benefits:

• 80% Health, Vision and Dental Insurance covered
• 401k Program
• 11+ Paid Holidays
• Unlimited PTO
• Competitive Salary
• Company Stock
• Performance Based Culture
• Dog-friendly office
• Hybrid - 4 days in office and 1 day remote

About Tractor Zoom

At Tractor Zoom, we’re on a mission to transform how the ag industry buys, sells, and values equipment.

We connect dealers, farmers, lenders, and auctioneers through one intelligent platform that delivers real-time data, powerful insights, and faster paths to action. Whether you're in the field, on the lot, or behind the desk—we help you price smarter, move faster, and sell more.

With data from over 65% of U.S. used equipment listings, Tractor Zoom is the #1 Sales Tech in agriculture, providing unmatched visibility into the market. From streamlining valuations to automating workflows, our solutions are designed to fuel smarter decisions and unlock growth for every player in the equipment lifecycle.

Tractor Zoom Culture

We are a small but mighty team of driven, out-of-the-box thinkers that are hungry for information. We are not only passionate about identifying customer pain points but inspired to solve them. Our values unite us and help us work together toward our common goals. We’re a customer first organization knowing they are ultimately the end users of our products and technology.

If you’re interested in making a difference and seeing your efforts directly impactthe trajectory of a company. Come join us!

Requirements:

• Bachelor’s degree in Statistics, Mathematics, Engineering, Computer Science or related field (preferred) or equivalent work experience.
• 5+ years in Data Science or related fields
• 5+ years of programming experience (Python preferred)
• Proven experience deploying, testing, and monitoring models at an enterprise level utilizing different frameworks (e.g. sklearn, PyTorch, Tensorflow, etc.)
• Design and build agentic workflows that connect data signals to automated action
• Expertise in at least one subject area: computer vision, time series forecasting, deep learning, predictive analytics
• Experience with cloud providers (AWS preferred).