Semih Y.
Staff Data Scientist | Data Science, Information Retrieval, Predictive Modeling | Accelerate Growth Through Precision Modeling and Real-Time ML and AI Systems
- Role
- Staff Data Scientist at Walmart Global Tech
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Semih Y.
I develop machine learning systems, quantitative models, and research infrastructure that…
Experience
Staff Data Scientist
Oct 2021 — Present · Hoboken, NJ, US
I lead machine learning initiatives to optimize Walmart’s e-commerce search and BuyBox offer rankings. My work spans the full ML lifecycle—from research and experimentation to deployment at scale using both Python and Java. I apply advanced modeling techniques and A/B testing to uncover insights, guide product strategy, and drive measurable business outcomes. I also mentor junior data scientists and help them navigate Walmart’s engineering systems and development practices.SEARCH RANKING – ML ENGINEERING, INFORMATION RETRIEVAL AND MODELING- Achieved a 24% increase in GMV by building a unified and personalized search ranking architecture.Boosted query-item match quality by 11% by designing a novel token-weighting signal and integrating it via CI/CD pipelines in Java- Elevated add-to-cart metrics through deployment of a neural network that personalizes results based on user interaction data- Strengthened ranking accuracy and stakeholder confidence by leading interleaving and A/B test iterations- Cut latency and improved system robustness by integrating optimized ranking features into live infrastructure.BUY BOX OFFER RANKING – DEEP LEARNING AND CONSTRAINED RANKING SYSTEMS- Delivered a 4% gain in add-to-cart conversion by creating a CNN model that respected critical business rules like price and shipping constraints- Improved offer placement by 3.8% by quantifying how delivery speed and pricing influence customer choices- Drove measurable performance improvements by engineering tradeoff-aware ranking inputs and rigorously validating outcomes- Increased model resilience to noisy data by fine-tuning features and training techniques in Keras and PyTorch.
Education
Orta Doğu Teknik Üniversitesi / Middle East Technical University
Bachelor's Degree, Mathematics
2010 — 2014
Karaosman Primary School
Primary School
1996 — 2004
Princeton University
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering
2016 — 2021
Orta Doğu Teknik Üniversitesi / Middle East Technical University
Bachelor's Degree, Electrical and Electronics Engineering
2009 — 2013
Sakarya Anatolia High School
General Studies
2004 — 2008
Princeton University
Master of Arts - MA, Electrical Engineering
2014 — 2016
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