Alex Yunerman
San Francisco Bay Area,United States
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Find Alex Yunerman’s PhoneAlex Yunerman's Overview
Alex Yunerman is a highly accomplished and visionary data science leader with extensive experience in building and scaling AI and machine learning capabilities to drive significant business growth and innovation. Currently serving as the SVP, Head of Data Science & Advanced Analytics at Gap Inc., he spearheads the company's data strategy across its portfolio of brands (Old Navy, Gap, Banana Republic, Athleta). Alex leads large, multi-disciplinary teams to develop and deploy cutting-edge AI/ML products that enhance customer experiences, optimize operations, personalize marketing, and unlock new revenue streams. His expertise spans areas such as recommendation systems, demand forecasting, supply chain optimization, customer analytics, and building robust MLOps pipelines. Prior to Gap Inc., Alex held pivotal data science leadership positions at Grubhub, where he was instrumental in building and scaling their data science function, and at Orbitz Worldwide, contributing to early applications of machine learning in the travel industry. He holds a PhD in Physics from Northwestern University, providing him with a strong foundation in quantitative analysis and problem-solving. Alex is known for his ability to bridge the gap between complex data science and tangible business impact, fostering data-driven cultures, and mentoring top-tier talent in the field.
Professional Summary
Alex Yunerman's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Leadership in AI/ML at Gap Inc.
As SVP, Head of Data Science & Advanced Analytics, successfully leads and scales AI/ML initiatives across Gap Inc.'s iconic brands, driving innovation in personalization, inventory management, and customer engagement, directly impacting business performance and customer satisfaction.
Scaled Data Science Operations at Grubhub
During his tenure as Director of Data Science at Grubhub, he significantly grew the data science team and its capabilities, developing critical algorithms for logistics optimization, food recommendations, and fraud detection, which were key to Grubhub's rapid expansion and market leadership.
Pioneering E-commerce Data Science
Contributed to the early adoption and application of data science and machine learning in the e-commerce and travel sectors through his roles at Orbitz Worldwide and Sears Holdings, focusing on pricing optimization, customer segmentation, and predictive modeling.
PhD in Physics
Earned a Doctor of Philosophy (Ph.D.) in Physics from Northwestern University, equipping him with deep analytical, research, and problem-solving skills foundational to his career in data science.
Thought Leadership and Mentorship
Recognized as a thought leader in applied AI and data science, frequently sharing insights at industry conferences and actively mentoring emerging data scientists, contributing to the growth of the data science community.
Educational Background
MBA, Masters in Business Administration
San José State University - Year 2009
BS, Business Administration: Marketing
San José State University - Year 2003
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Company Overview
QuinStreetQuinStreet, Inc. is a global leader in performance marketing products and technologies. The company serves clients in high-value, high-consideration verticals, primarily in financial services (insurance, credit cards, personal loans) and education. QuinStreet's full-service approach to performance marketing helps clients find and acquire new customers online by leveraging proprietary technologies to match high-intent consumers with relevant brands and service providers. End users benefit by getting connected to relevant products and services that meet their specific needs at the time they are actively searching.
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