Principal Data Scientist

About the position

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.

Responsibilities

• 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.
• 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.
• 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.

Requirements

• 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.
• Proficiency in Python programming.
• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
• Familiarity with cloud computing platforms (AWS, GCP).
• Experience with MLOps frameworks (Kubeflow, MLFlow).
• Demonstrated experience in developing and deploying machine learning models to solve business problems, particularly in the context of programmatic advertising or digital marketing.
• Strong communication and leadership abilities, with a track record of mentoring and developing data science talent.
• Bachelor’s degree in Statistics, Data Science, Mathematics, or a related field.

Benefits

• Competitive salaries
• Stock options
• Medical, dental, and vision coverage
• Short and long-term disability
• Life insurance
• 11 paid holidays
• Flexible vacation
• Commuter benefits
• 401(k) plan and match
• Paid parental leave program