Senior Data Scientist

Join TripleLift as a Senior Data Scientist, where you will design and run experiments to improve bidding algorithm performance, apply statistical analysis and advanced analytics techniques, develop and maintain machine learning pipelines, collaborate with various stakeholders, and monitor and evaluate deep learning and machine learning systems. Enjoy benefits such as medical, dental, and vision plans, unlimited PTO, and a 401k with employer match.

- Design and run experiments to improve bidding algorithm performance and maximize outcomes for TripleLift’s customers. - Apply statistical analysis and advanced analytics techniques to understand market dynamics and deliver actionable insights and recommendations. - Develop, implement, and maintain scalable, production-ready machine learning pipelines and systems, applying best practices in ML engineering.

- Strong foundation in statistical analysis, deep learning, and machine learning techniques - At least five years of professional experience in data science and/or machine learning within a collaborative work environment - Ability to work efficiently and independently with minimal oversight - Hands-on experience with TensorFlow or PyTorch to prototype models for high-volume, distributed systems - Strong work ethic and a demonstrated commitment to delivering high-quality work - A degree in a technical or quantitative field is preferred. Candidates with relevant professional experience and degrees in other disciplines will also be considered - Openness to feedback and constructive criticism, with a commitment to continuous learning and professional development - Strong organizational, communication, and attention-to-detail skills - At least two years of professional experience developing data science and machine learning models in a programmatic advertising environment - Experience monitoring and measuring statistical model performance using tools such as Prometheus and Grafana, including building dashboards and alerts to identify performance issues and ensure models function effectively