Principal Data Scientist

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.

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.

No preferred qualifications provided.