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Hoda Eydgahi
Head of Data Science at Brex - Hiring for remote data scientists / machine learning engineers
Professional Background
Hoda Eydgahi is a seasoned technology leader and innovator with a rich background in machine learning, data science, and engineering. With extensive experience across various prestigious organizations, Hoda has shaped the landscape of applied machine learning and data engineering through strategic roles that have emphasized her profound understanding of the intersection between technology and analytics. Known for her visionary approach, she served as the Director of Applied Machine Learning Engineering at Shopify, where she drove groundbreaking machine learning initiatives aimed at enhancing the platform's capabilities. Prior to that, she held the position of Director in Data Science and Engineering at the same company, further cementing her expertise in the field.
Hoda has been a pivotal figure in advancing machine learning practices at multiple startups and established companies alike. As the Head of Data Science and Machine Learning Engineering at Brex, she led efforts to refine and implement machine learning solutions tailored for financial technology. Additionally, her time at Stitch Fix as Senior Manager of Data Science and Machine Learning Engineering showcased her ability to integrate innovative data strategies with customer-centric product offerings.
Her journey into tech began with a focus on biomedical engineering, leading to her foundational expertise in creating wearable sensors, a testament to her innovative spirit in leveraging technology for health-related solutions. Hoda’s professional trajectory is characterized by a series of forward-thinking roles that showcase her ability to mentor emerging talent, highlighted by her contributions as a Mentor at First Round Fast Track, which underscores her commitment to fostering growth in the tech community.
Education and Achievements
Hoda's academic accomplishments lay the groundwork for her remarkable career. She pursued her Ph.D. and M.S. in Electrical Engineering and Computer Science with a concentration in Machine Learning and Wearable Sensors, respectively, at the esteemed Massachusetts Institute of Technology (MIT). This rigorous education equipped her with advanced knowledge and practical skills essential for complex problem-solving in high-tech environments. Prior to her distinguished tenure at MIT, Hoda obtained her Bachelor of Science degree in Biomedical Engineering from Virginia Commonwealth University, where she developed a solid foundation in integrating engineering principles with biological sciences.
An important part of Hoda's professional narrative is her role as an Angel Investor at Andreessen Horowitz, where she leveraged her industry insights to identify promising startups and advise on investment strategies. She also engaged as a Scout for both Andreessen Horowitz and Sequoia Capital, roles that further reinforced her reputation in the venture capital space as a keen judge of talent and innovation.
With a unique blend of technical expertise and leadership abilities, Hoda has made significant impacts on the organizations she has worked with. Her tenure at Color Genomics as a 'Professional Ninja' allowed her to contribute creatively to their data science practices, while her early career experiences—such as her internships at Microsoft and the National Institutes of Health—laid the groundwork for her innovative thinking and commitment to revolutionizing technology.
Achievements
- Leadership in Machine Learning: As the Director of Applied Machine Learning Engineering at Shopify, Hoda engineered solutions that transformed the e-commerce platform, enhancing user experiences through personalized and intelligent product recommendations.
- Venture Capital Contributions: Engaging as an angel investor and scout at prominent venture firms, Hoda has not only contributed capital but also strategic insights that help startups thrive in a competitive landscape.
- Mentorship and Community Involvement: Through her mentorship at First Round Fast Track, Hoda has influenced numerous budding entrepreneurs and data scientists, helping to shape the next generation of tech innovators.
- Innovative Research: Hoda’s academic pursuits in machine learning and wearable sensors underline her commitment to pushing the boundaries of technology for real-world applications, particularly in health technology and consumer products.
- Cross-Industry Expertise: Her diverse professional experience spans critical industries such as e-commerce, fintech, consumer retail, and health tech, showcasing her adaptability and broad perspective on the application of data science and engineering principles across various domains.
