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Principal Data Scientist
Sovrn Holdings - Boulder, CO
posted 2 months ago
About the position
The Principal Data Scientist at Sovrn Holdings will lead and scale data science initiatives, focusing on enhancing ad targeting, bidding strategies, and audience-building innovations. This role emphasizes leveraging data to create predictive models and algorithms that improve ad personalization while ensuring user privacy. The position requires deep expertise in machine learning and data analytics to optimize programmatic advertising capabilities, with a strong emphasis on collaboration across product, engineering, and commercial teams to align data-driven strategies 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 for personalized ad experiences.
- Ensure user privacy is prioritized 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, with a strong focus on digital advertising.
- Experience applying data science in ad tech, programmatic advertising, and the broader digital media ecosystem.
- Proficiency in Python programming and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Experience with cloud computing platforms (AWS, GCP) and MLOps frameworks (Kubeflow, MLFlow).
- Demonstrated experience in developing and deploying machine learning models to solve business problems, particularly in 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
- 401(k) matching
- Commuter assistance
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid holidays
