Digital Technology Data Scientist Lead

GLOBAL Recruitment Solutions•Frederick, MD

1d•Hybrid

About The Position

We are seeking a Digital Technology Data Scientist Lead to drive advanced analytics and machine learning initiatives that directly impact business performance. This is a hands-on individual contributor role for a senior data scientist who excels at translating business problems into data-driven solutions and communicating insights in a compelling, actionable way. This position operates within a Data Science Center of Excellence , requiring strong collaboration across business functions and the ability to influence stakeholders through data storytelling and technical expertise.

Requirements

Candidates must clearly demonstrate hands-on experience with: Azure Databricks Python Spark Power BI Microsoft Office (advanced Excel, pivot tables) Statistical modeling and machine learning Data processing across large, complex datasets
Strong track record of: Working directly with business stakeholders Translating business needs into analytical solutions Communicating impact in business terms
Exceptional communication and presentation skills
Ability to tell a story with data
Comfortable operating in a highly collaborative, cross-functional environment
Experience in supply chain analytics is important
Bachelors degree + 5 years of relevant experience OR Masters degree + 3 years of relevant experience

Nice To Haves

Masters or PhD in Data Science, Statistics, Computer Science, or related field
Experience with Microsoft Power Platform
Familiarity with Large Language Models (LLMs)
Knowledge of Retrieval-Augmented Generation (RAG) architectures
Experience developing front-end data apps (Flask, Gradio, etc.)

Responsibilities

Analyze and interpret structured and unstructured data using statistical methods, machine learning, and advanced programming
Partner with business stakeholders to gather requirements, design solutions, and deliver measurable business impact
Build and deploy complex predictive models and ML algorithms into operational systems
Translate technical findings into clear, compelling stories for both technical and non-technical audiences
Lead data science workstreams including: Model development and validation Data quality improvements Incident troubleshooting and root cause resolution
Collaborate cross-functionally with data engineers, architects, analysts, and business leaders
Mentor team members and promote data science best practices
Contribute to the enterprise data science strategy and roadmap
Support supply chain–related analytics initiatives