Director, Applied Science

WHAT YOU’LL DO

The Machine Learning team at Viant is revolutionizing the Ad Tech industry with innovative machine learning systems. By automating manual processes in creating, launching, and measuring digital ads, we build autonomous systems that process hundreds of millions of events daily.

We are seeking an experienced and visionary Director of Applied Science to lead the development and implementation of machine learning solutions that drive significant business impact. In this role, you will define the team’s strategic direction, cultivate a high-performance engineering culture, and deliver innovative models and systems to address complex business challenges.

THE DAY-TO-DAY

• Provide strategic and technical leadership to the Machine Learning Engineering team, driving innovation and ensuring alignment with company objectives.
• Own the end-to-end development, deployment, and maintenance of machine learning models that power Viant’s products and services.
• Develop and coach a team of machine learning engineers, fostering a culture of excellence in engineering practices, architecture, and quality.
• Apply advanced machine learning techniques, including supervised learning and causal inference, to solve problems such as content demand forecasting, incremental value measurement, and personalization.
• Collaborate with cross-functional teams, including Product, Finance, and Content leadership, to deliver actionable insights and guide strategic decisions.
• Drive innovation by researching and implementing new methodologies, statistical techniques, and machine learning approaches.
• Build and nurture relationships with stakeholders, ensuring timely delivery of impactful machine learning solutions.

MUST HAVE

• 10+ years of experience in machine learning, with at least 5+ years leading and scaling high-performing teams.
• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• Strong expertise in developing and applying machine learning models for real-world business applications.
• Proven ability to deliver results at scale through innovation and operational excellence.
• Exceptional problem-solving skills and the ability to tackle challenges not previously solved in the industry.
• Demonstrated track record of fostering collaboration across technical and business teams.

GREAT TO HAVE

• PhD in Machine Learning, Computer Science, or a related field.
• Experience in the Ad Tech industry or with digital advertising systems.
• Publications or contributions to leading conferences in machine learning or data science.

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About Viant

Viant Technology Inc. (NASDAQ: DSP) is a leader in AI-powered programmatic advertising, dedicated to driving innovation in digital marketing. Viant’s omnichannel platform built for CTV allows marketers to plan, execute and measure their campaigns with unmatched precision and efficiency. With the launch of ViantAI, Viant is building the future of fully autonomous advertising solutions, empowering advertisers to achieve their boldest goals. Viant was recently awarded Best Demand-Side Platform by MarTech Breakthrough, Great Place to Work® certification and received the Business Intelligence Group’s AI Excellence Award. Learn more at viantinc.com.

Viant is an equal opportunity employer and makes employment decisions on the basis of merit.  Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws.  Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.

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