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Hello! I’m Noah Brace, a dynamic and results-driven Lead Data Scientist with over 10 years of experience solving complex, high-impact problems across multiple industries. I specialize in AI/ML model development, data-driven decision making, and leading cross-functional teams to deliver innovative solutions. I thrive in environments that require creative problem solving and strategic thinking. My experience spans from guiding clinical R&D advances in pharma to optimizing operational efficiency in aviation, consistently pushing the boundaries of what data science can achieve.…Hello! I’m Noah Brace, a dynamic and results-driven Lead Data Scientist with over 10 years of experience solving complex, high-impact problems across multiple industries. I specialize in AI/ML model development, data-driven decision making, and leading cross-functional teams to deliver innovative solutions. I thrive in environments that require creative problem solving and strategic thinking. My experience spans from guiding clinical R&D advances in pharma to optimizing operational efficiency in aviation, consistently pushing the boundaries of what data science can achieve.

Noah Brace

Data Scientist, AI Engineer, Full Stack Developer, +2

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Hello! I’m Noah Brace, a dynamic and results-driven Lead Data Scientist with over 10 years of experience solving complex, high-impact problems across multiple industries. I specialize in AI/ML model development, data-driven decision making, and leading cross-functional teams to deliver innovative solutions. I thrive in environments that require creative problem solving and strategic thinking. My experience spans from guiding clinical R&D advances in pharma to optimizing operational efficiency in aviation, consistently pushing the boundaries of what data science can achieve.…Hello! I’m Noah Brace, a dynamic and results-driven Lead Data Scientist with over 10 years of experience solving complex, high-impact problems across multiple industries. I specialize in AI/ML model development, data-driven decision making, and leading cross-functional teams to deliver innovative solutions. I thrive in environments that require creative problem solving and strategic thinking. My experience spans from guiding clinical R&D advances in pharma to optimizing operational efficiency in aviation, consistently pushing the boundaries of what data science can achieve.

Available to hire

Hello! I’m Noah Brace, a dynamic and results-driven Lead Data Scientist with over 10 years of experience solving complex, high-impact problems across multiple industries. I specialize in AI/ML model development, data-driven decision making, and leading cross-functional teams to deliver innovative solutions.

I thrive in environments that require creative problem solving and strategic thinking. My experience spans from guiding clinical R&D advances in pharma to optimizing operational efficiency in aviation, consistently pushing the boundaries of what data science can achieve.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Lead Data Scientist at AbbVie

September 1, 2019 - Present

Led cross-functional teams of data scientists, engineers, and R&D professionals to design and deploy data-driven predictive analytics solutions across pharmaceutical development. Spearheaded end-to-end deployment of predictive insights in R&D using Python, TensorFlow, Spark, and MLflow; championed scalable data pipelines and governance to accelerate drug discovery and operational efficiency.

Data Scientist at United Airlines

September 1, 2016 - September 1, 2019

Developed predictive models to optimize flight operations, predict delays, and forecast customer demand; applied advanced ML techniques including decision trees, clustering, and regression, with real-time analytics using R, Python, and SQL. Built automated data pipelines and dashboards to enable data-driven decision making across operations.

Summer Associate at A.T. Kearney

April 1, 2015 - September 1, 2015

Collaborated with senior consultants to develop logistics and inventory optimization solutions through data analysis and simulation. Applied statistical analyses and modeling to advise on cost reductions and efficiency improvements in client supply chains.

Summer Associate at A. T. Kearney

April 1, 2015 - September 1, 2015

Collaborated with senior consultants to develop logistics and inventorying solutions through data analysis and optimization techniques. Applied statistical analysis and simulation models to recommend strategies for cost reduction and operational efficiency for clients in the supply chain sector. Worked closely with the client’s data team to ensure accurate data gathering and provided actionable insights based on complex analyses.

Summer Analyst at Morgan Stanley

April 1, 2014 - September 1, 2014

Assisted with financial analysis for ongoing projects and evaluated business initiatives, contributing to key financial models. Built detailed cost accounting reports using SSRS, SQL Server Reporting Services, providing management with insights into financial performance. Conducted data research and gathered relevant information to support presentations and decision-making for managers and directors.