Data Scientist
Not Disclosed•Full-TimeOn-site
location_onMiddleground Drive Southeast, Kentwood, Kent County, Michigan, 49546, United States
About Cavallo
Cavallo is at the forefront of developing cutting-edge profit technologies for product-centric brands and wholesale distributors. Since 2003, we have helped manufacturing and distribution companies increase productivity and efficiency, evolving from "clipboards and legal pads" to streamlined enterprise software. Our Grand Rapids-based headquarters focuses on changing how organizations do business through our software products, customizations, expertise, and support. Our solutions integrate with leading business applications, including multiple ERP platforms, and a wide range of other technologies.
Data is a pillar of our core values; it fuels more informed and efficient decision-making and empowers us to build the tools that help our customers run a more profitable business. We are a #PeopleFirst organization that believes in instilling excellence in the people who make up our team. Ingenuity, adaptation, and evolution are at the core of our culture.
About the Role
We are seeking a Data Scientist to join our Product Development Data Science Team. In this role, you will be an integral part of the engineering cycle, building scalable predictive and statistical models that are embedded directly into our software. You will own the full data science lifecycle, navigating production databases to transform raw signals into robust features and collaborating on the deployment of machine learning models that power intelligent product features.
You will partner with Product Teams to translate business goals into data-driven strategies that enhance product value. Your work will involve analyzing complex business problems in the distribution space to deliver models that identify margin opportunities and drive customer profitability. A key part of your mission is bridging the gap between complex model outputs and daily business operations, ensuring data findings are integrated, actionable, and "human-readable" for our customers. You will translate complex statistical findings into clear, visual narratives that enable stakeholders to make confident, data-backed decisions.
Why Join Us
Join a leadership team dedicated to creating enormous and measurable value for our customers. We are focused on helping businesses grow, expand, or reshape how they do things by approaching each and every problem with energy, creativity, and confidence. We are looking for the self-motivated, the hard-working, the problem solvers, and the dedicated to join our team of experts.
Hiring Process
If you are a visionary leader passionate about innovation, execution, and scaling world-class products, we'd love to hear from you. Please submit your application to join our team of experts.
Work location
Work model: On-site
Middleground Drive Southeast, Kentwood, Kent County, Michigan, 49546, United States
Kentwood, Michigan
Key Responsibilities
- check_circlePartner with Product Teams to translate business goals into data-driven strategies
- check_circleAnalyze complex distribution problems to identify margin opportunities and drive profitability
- check_circleTranslate complex statistical findings into clear visual narratives for stakeholders
- check_circleDesign and build scalable predictive and statistical models embedded in software
- check_circleOwn the full data science lifecycle from raw signal transformation to model deployment
- check_circleOperationalize insights by integrating model outputs into daily business operations
Requirements
- verified2-4+ years of experience in data science
- verifiedBachelor's degree in a quantitative field
- verifiedAdvanced knowledge of Python
- verifiedProficiency in SQL
- verifiedExperience with Pandas and Scikit-learn
- verifiedMastery of LightGBM or XGBoost
- verifiedProficiency with Git
- verifiedExperience with Agile/Scrum framework
- verifiedExperience with Jira
- verifiedFamiliarity with LLMs and RAG techniques
Nice to Have
Familiarity with LLMs and RAG techniques to build natural-language interfaces for complex data insights.
