Data Scientist - R&D (AI​/ML

Work Shift

1 - First Shift

Are you the type of person who is passionate about data and deriving new insights from it? In this role you will research how different data streams can be used to inform new or improved products and processes. We’re looking for an experienced data scientist who thrives in a fast paced, hands-on team.

• 1. Develop and combine data models and apply machine learning algorithms to analyze large data sets to identify patterns and predict/forecast trends.
• 2. Identify valuable data sources and collaborate with data engineering teams to automate collection process, clean data, and pre-process for later use.
• 3. Apply non-linear regression modeling, simulations, or other statistical analysis techniques to uncover trends and correlations.
• 4. Use data visualization techniques and storytelling to present information and solutions to address business challenges.
• 5. Produce business insights through leading continuous discovery, stakeholder collaboration, and documentation to enhance data literacy.

• - Bachelor’s degree in Computer Science, Data Science, Mathematics, or other related field with three years of relevant experience; or equivalent combination of education and experience required.
• - Experience with machine learning operations, data modeling concepts, and data storage technologies, and how to extract from these sources using querying languages such as SQL and/or KQL.
• - Experience in translating insights into business language, enabling informed business decisions.
• - Experience with programming languages such as Python or R and tools such as Matlab.

• - Occasional travel is expected of this position.

The AI/ML Engineer will drive the development and implementation of advanced machine learning and generative AI solutions that enhance products, automate business processes, and improve decision-making. This role requires expertise in Databricks, modern AI frameworks, vector databases, and Microsoft Copilot technologies to build scalable, production-ready AI applications and intelligent automation capabilities.

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Some of a team member’s day-to-day work may be best done at a location other than a Vermeer campus. Discuss specific arrangements with your manager.