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Identify and prioritize high-intent leads, and improve sales effectiveness
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Nicole Pohlot Tamas is a highly experienced and recognized leader in the field of data science, currently serving as the Head of Data Science at Fetch. With a Ph.D. in Sociology (with a strong quantitative focus) from the University of Chicago, she possesses a deep understanding of research methodologies, statistical modeling, and human behavior. Nicole has a proven track record of building and leading high-performing data science teams, developing and deploying machine learning models, and translating complex data insights into actionable business strategies. Her expertise spans areas such as personalization, consumer behavior analytics, AI-driven product development, and data strategy, particularly within the tech and consumer rewards space. She is passionate about leveraging data to solve challenging problems and drive innovation.
Nicole Pohlot Tamas's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads the entire data science organization at Fetch, a leading consumer rewards app. Responsible for setting the vision, strategy, and execution of all data science and machine learning initiatives to enhance user engagement, personalization, and business growth.
Successfully built, scaled, and mentored data science teams at Fetch and previously at NielsenIQ, fostering talent and developing capabilities in advanced analytics, machine learning, and AI.
Applied sophisticated quantitative methods and machine learning techniques to model and understand consumer behavior, leading to impactful product features and business outcomes at both Fetch and NielsenIQ.
Earned a Doctor of Philosophy from the University of Chicago, specializing in quantitative methodologies, which provided a strong foundation for her career in data science.
Has participated as a speaker and panelist at industry events and conferences (e.g., Women in Tech, AI conferences), sharing insights on data science, leadership, and technology trends.
Loyola Marymount University
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Fetch is a mobile shopping platform that rewards shoppers for scanning their purchase receipts. Users earn points on every receipt they scan, which can then be redeemed for gift cards and other rewards. The app partners with numerous brands to offer bonus points on specific products, helping users save money and discover new items. It aims to make grocery shopping more rewarding and fun.
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