Principal Data Scientist

About Sovrn

Every interesting company solves essential problems for other people. Sovrn is a Software and Data business that helps Open Web businesses remain independent. We help them understand their business better, operate more efficiently, and make and keep more money.

• We believe in the freedom and free flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions, we help our customers:

• Understand their business better, so they can make better decisions.
• Operate their business more efficiently, so they can invest in what matters most.
• Make (and Keep) more money, so they control their own destiny.

About the Role

The Principal of Data Science will lead and scale data science, driving ad targeting, bidding strategies, and audience-building innovation. The primary focus will be leveraging data to create predictive models and algorithms that enhance ad personalization while maintaining user privacy. This role requires deep machine learning and data analytics expertise to optimize Sovrn’s programmatic advertising capabilities. Collaboration with product, engineering, and commercial teams will be essential to ensure data-driven strategies align with business objectives.

What you’ll be doing: 

• Technical Modeling. Develop and implement predictive models and algorithms to optimize ad targeting and bidding strategies. Leverage machine learning and statistical modeling to build audience segments, ensuring personalized ad experiences. Ensure user privacy remains a top priority while developing advanced personalization techniques.
• Technical Leadership. Stay informed on emerging trends in machine learning, digital advertising, and data privacy regulations. Contribute to the overall data strategy to drive innovation in the digital media ecosystem. Provide strategic insights and recommendations based on deep ad tech and programmatic data analysis. 
• Collaboration: Collaborate with engineering and product teams to integrate data science models into production systems. Guide and mentor Data Scientists, fostering a culture of innovation and learning within the team.

A successful candidate will have: 

• 8+ years of experience in machine learning, statistical modeling, and data analytics, strongly focusing on digital advertising.
• Experience applying data science in ad tech, programmatic advertising, and the broader digital media ecosystem.
• Technical proficiency:
• Proficiency in Python programming
• Deep learning frameworks (TensorFlow, PyTorch, Keras)
• Cloud Computing platforms (AWS, GCP)
• MLOps …