Senior Data Scientist

Role Description

The Senior Data Scientist applies strong expertise in artificial intelligence through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. The Senior Data Scientist should also have some awareness about Gen AI & Agentic AI concepts and have a point of view on how traditional data science workflows can evolve by harnessing the power of Generative AI & Agentic AI. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test and develops efficient and accurate analytical models that mimic business decisions and incorporate them into analytical data products or tools with the support of a cross-functional team.

Key Responsibilities

• Collaborates with business partners to develop novel ways to meet objectives utilizing cutting-edge techniques and tools.
• Effectively communicates the analytics approach and how it will meet and address objectives to business partners.
• Advocates and educates on the process and reasoning for solving problems with data-driven decision making.
• Leads analytic approaches to integrate work into applications and tools with data engineers, business leads, analysts, and developers.
• Creates repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products.
• Engineers features by using business acumen to find new ways to combine disparate internal and external data sources.
• Identifies and develops long-term processes, frameworks, tools, methods, and standards.
• Collaborates and learns with a growing team of experienced data scientists.
• Stays connected with external sources of ideas through conferences and community engagements.

Qualifications

• Generally requires a Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience.
• Masters in Data Science, Computer Science, Engineering, or Statistics (preferred).
• Doctorate in Data Science, Computer Science, Engineering, or Statistics (preferred).

Requirements

• 8+ years' experience in a data science role (required).
• 8+ years' experience in a data engineering, analyst, or architecture role (required).
• 8+ years' experience in a data science role (preferred).
• 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