Data Scientist III

Grade Level (for internal use):

10

The Role:

Data Scientist III

The Team:

We are a central data and reporting function that gathers all organizational data spanning from financial to inventory. This unique position allows our team to ajinnovate and build data products and solutions for internal stakeholders, including applying AI and Machine Learning to our comprehensive datasets. We foster a collaborative environment where continuous learning is encouraged, and team members regularly share knowledge about the latest AI developments and methodologies. The team values experimentation, data-driven decision making, and maintains a culture of intellectual curiosity where interns are mentored by experienced practitioners and given meaningful projects that contribute to real-world applications.

The Impact:

This role is critical because it turns the organization’s unified data into scalable, production-grade data products—enabling accurate forecasting, early anomaly detection, and smarter risk decisions that directly improve operational efficiency and financial outcomes.

By combining modern lakehouse architecture with AI/ML, it empowers internal teams with self-service insights while delivering faster, more reliable, and data-driven solutions to clients—enhancing trust, competitiveness, and market responsiveness.

What’s in it for you:

- Opportunity to design and own a modern, end-to-end Databricks lakehouse platform, working at the intersection of data engineering, architecture, and applied AI/ML.

- High visibility role with exposure to senior stakeholders, business leaders, and decision-makers, directly influencing strategy through data-driven insights.

- Strong growth environment with hands-on experience in cutting-edge technologies and continuous learning through collaboration and mentorship.

- Chance to work on enterprise-wide, high-impact data products with a global scope, enabling innovation across diverse business domains and markets.

Years of Experience and Qualification:

Typically, you’ll bring 7+ years of experience in data engineering, Machine Learning and building production-grade data pipelines and platforms in a cloud environment. A Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field is required; a Master’s degree is a plus.