Senior Data Scientist

The role

The Data Scientist / Machine Learning Engineer improves bidding algorithm performance and develops scalable machine learning solutions. This role combines statistical analysis, experimentation, and machine learning engineering to optimize bidding and build production-ready systems.

What you will do

• Design and run experiments to improve bidding algorithm performance.
• Apply statistical analysis and advanced analytics to understand market dynamics.
• Develop, implement, and maintain scalable, production-ready machine learning pipelines and systems.
• Collaborate with engineering, product management, and business stakeholders.
• Monitor and evaluate deep learning and machine learning systems in production environments.

Required qualifications

• At least five years of professional experience in data science and/or machine learning within a collaborative work environment.
• At least two years of professional experience developing data science and machine learning models in a programmatic advertising environment.
• Strong foundation in statistical analysis, deep learning, and machine learning techniques.
• Hands-on experience with TensorFlow or PyTorch to prototype models for high-volume, distributed systems.
• Experience monitoring and measuring statistical model performance using tools such as Prometheus and Grafana.
• Strong organizational, communication, and attention-to-detail skills.
• Ability to work efficiently and independently with minimal oversight.
• Openness to feedback and constructive criticism.
• Strong work ethic and a demonstrated commitment to delivering high-quality work

Nice to have

• A degree in a technical or quantitative field

About the company

TripleLift is the Creative SSP powered by TL Spark, an agentic intelligence layer. The platform orchestrates creative, supply, audience, and measurement across the open internet, retail media, and CTV.