Senior Data Scientist

Role Overview

The Senior Data Scientist applies expertise in artificial intelligence to design and build advanced analytics engines and services. They collaborate with business partners to define technical problems and develop analytical models. The role involves leading analytic approaches, creating repeatable models, and integrating work into applications and tools.

What You Will Do

Collaborate with business partners to develop novel ways to meet objectives, effectively communicate analytics approaches, and advocate for data-driven decision making. Lead analytic approaches, create repeatable models, and integrate work into applications and tools.

Why It Might Be a Fit

The ideal candidate has strong expertise in machine learning, data mining, and information retrieval, with awareness of Gen AI & Agentic AI concepts. They should have a point of view on how traditional data science workflows can evolve with Generative AI & Agentic AI.

Requirements

• Bachelor's degree and 12 years of related experience
• Master's degree and 8 years of related experience
• 8+ years' experience in a data science role
• 8+ years' experience in a data engineering, analyst, or architecture role
• Python
• SQL, Databricks
• Machine Learning concepts and engineering tools
• Good grasp of Generative AI and Agentic AI concepts
• Model deployment and maintenance
• BI tools (e.g., Tableau, PowerBI)
• Attention to detail
• Critical thinking
• Relationship building
• Ability to work with technical and non-technical stakeholders
• Requirements translation
• Agile work process
• Continuous learner

Benefits

• Equal opportunity employer
• Inclusive environment for all employees and applicants
• No discrimination on the basis of protected status