Principal Data Scientist

Summary

Join Sovrn as a Principal of Data Science and lead the scaling of data science initiatives, focusing on ad targeting, bidding strategies, and audience-building innovation. You will leverage data to create predictive models and algorithms for enhanced ad personalization while prioritizing user privacy. This role demands deep machine learning and data analytics expertise to optimize Sovrn's programmatic advertising. Collaboration with various teams is crucial to align data-driven strategies with business objectives. The position requires significant experience in machine learning and digital advertising, along with strong technical and leadership skills. Sovrn offers a competitive compensation package including base pay, bonus, equity, and a comprehensive benefits program.

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
• Deep learning frameworks (TensorFlow, PyTorch, Keras)
• Cloud Computing platforms (AWS, GCP)
• 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
• Comfort to collaborate with software engineers to understand complex systems and abstracted logs
• 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

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

Benefits

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