Stephanie Langeland
Lead Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolStephanie Langeland is a Lead Data Scientist with nine years of experience turning complex data into actionable business impact across streaming, media, insurance, consulting, and government research. She builds and deploys production-grade ML solutions—from lookalike and propensity models to survival analysis and NLP—using PySpark, Databricks, MLflow, and cloud data platforms. Known for uniting cross-functional stakeholders, she translates technical results into targeted marketing and product strategies that have driven multi-million-dollar revenue outcomes. She also designs user-facing tools (Dash/R Shiny) and taught a practical data science course to prepare MS students for corporate data roles. Earlier in her career she led large, high-stakes financial audits, a background that informs her rigor in controls, reproducibility, and explainability. Based in New York, she combines statistical depth (Bayesian and frequentist) with production engineering to deliver measurable business value.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS) Business Economics & Statistics, Bachelor of Science (BS) Business Economics & Statistics at Pace UniversityMaster of Arts (M.A.) Data Science Quantitative Methods in the Social Sciences (QMSS), Master of Arts (M.A.) Data Science Quantitative Methods in the Social Sciences (QMSS) at Columbia University
Github Skills (5)
science4
python4
machine-learning3
pandas3
data-science3
Github contributions (5)
Slangeland1/Projects
May 2017 - May 2023
Contributions:54 pushes, 1 branch in 6 years
amp5/QMSS_G5069_Applied_D_S
Feb 2017 - Apr 2017
Contributions:165 commits, 36 PRs, 165 pushes in 2 months
pythonsciencedata-sciencemachine-learningapplied-data-science
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