Data Scientist

URUS is seeking a Data Scientist passionate about transforming complex data into actionable insights! This hybrid role is based in the Madison, WI area, offering a blend of remote and on-site collaboration. You’ll work closely with cross-functional teams to develop models, create visualizations, and deploy analytical solutions that support key business goals. If you enjoy collaborative problem-solving and driving data-driven decisions, this is the role for you.

As a Data Scientist you will work alongside other Data Scientists, Data Engineers, and Software Developers to develop, drive, and deliver value for a wide range of organizational objectives and stakeholders. Typical activities will include:

• Analyzing complex data sets to derive actionable insights and support decision-making processes
• Working with engineering and product teams to develop proof of concept features and product improvements
• Productionizing analysis and visualization scripts for consumption via APIs, dashboards, and reports

Key Responsibilities:

Data Analysis

• Collect, clean, and process data from a variety of internal and external sources for use in downstream activities.
• Conduct directed and undirected exploratory analysis to identify trends, patterns, and opportunities.
• Work closely with a variety of stakeholders to create reports, visualizations, and dashboards that facilitate their objectives.
• Communicate findings and insights to stakeholders in a clear and concise manner, whether written, verbally, or visually.

Model Development

• Design, implement, and evaluate machine learning or other statistical models to address specific business challenges.
• Develop, validate, and optimize machine learning, analytical, and other computational models for performance and accuracy.
• Collaborate with product teams and engineers to refine, package, and deploy computational models into production.
• Provide support and improvements for deployed models via new features and bug fixes throughout their lifecycle.

Communication and Education

• Stay current with industry trends and advancements in Data Science, providing expertise to the organization when needed.
• Continually expand and improve your knowledge and mastery of Data Science tools and methodologies of all kinds.
• Develop and present reports, articles, and presentations on Data Science-related topics as required.

Minimum Qualifications:

• Must be legally authorized to work in the United States.
• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, or a related field.
• Proficiency in programming languages such as Python or R.
• Experience with data analysis tools and libraries like SQL, Pandas, Polars, etc.
• Familiarity with machine learning libraries like Scikit-learn, TensorFlow, PyTorch, etc.
• Strong analytical, problem-solving, and technical communication skills, both written and verbal.

Preferred Qualifications:

• Experience developing, deploying, and testing models/scripts via Python microservice APIs (FastAPI, etc.).
• Experience with Databricks data warehouse/lakehouse tools, particularly using DBT models, and the
• Databricks AI/ML model development and deployment ecosystem.
• Experience building dashboards or interactive data presentations for stakeholders (PowerBI, Tableau, Streamlit, etc.).
• Developed or worked on custom models not available out-of-the-box in a package or library, ideally in a compiled language (C++, Rust, etc.).