
Leon W
@leonw
Data Scientist at Schwarz Digits building Spark SQL attribution pipelines on terabytes of cross-channel data.
What I'm looking for
At Schwarz Digits, I built scalable Spark SQL pipelines for marketing attribution on terabytes of cross-channel data, cutting runtime from six hours to one. I also applied transformer architectures and language modeling to large-scale data problems.
At Lidl Data & AI, I developed a forecasting solution used across 30+ countries that cut purchasing time per item from about eight minutes to about two. Earlier, at PIKON Analytics, I designed and implemented named entity recognition models to improve master data cleansing.
Experience
Work history, roles, and key accomplishments
Data Scientist
Schwarz Digits
Aug 2025 - Present (1 year 3 months)
Built scalable Spark SQL pipelines for marketing attribution on terabytes of cross-channel data, cutting runtime from 6 hours to 1 hour. Improved marketing measurement with robust attribution models and applied transformer architectures to large-scale data problems.
Data Scientist
Lidl Data & AI
Sep 2021 - Aug 2025 (3 years 11 months)
Developed and rolled out a forecasting solution used across 30+ countries, cutting purchasing time per item from ~8 to ~2 minutes. Coordinated cross-functional projects for data integration and analysis, and built applications end to end.
Junior Data Scientist
PIKON Analytics
Sep 2020 - Sep 2021 (1 year)
Designed and implemented named entity recognition (NER) models and used NLP to improve data quality in master data cleansing. Ran internal workshops on AI tools and technologies for the data team.
Education
Degrees, certifications, and relevant coursework
Maastricht University
Master of Science, Data Science & Smart Services
2019 - 2020
Grade: Cum Laude
M.Sc. in Data Science & Smart Services, graduated Cum Laude. Thesis applied deep learning NLP techniques to electronic health records to detect adverse events in heart failure patients.
Maastricht University
Bachelor of Science, International Business
2016 - 2019
Grade: Cum Laude
B.Sc. in International Business, graduated Cum Laude.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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