Senior Data Scientist

Join TripleLift as a Senior Data Scientist, where you'll play a critical role in improving bidding algorithms and developing scalable machine learning solutions. You'll collaborate with engineering, product management, and business stakeholders to identify opportunities, test hypotheses, and translate data-driven insights into measurable business impact. This position offers a fast-paced, collaborative environment with opportunities for continuous learning and professional development.

Develop, implement, and maintain scalable, production-ready machine learning pipelines and systems, applying best practices in ML engineering.

Responsibilities

• Design and run experiments to improve bidding algorithm performance and maximize outcomes for TripleLift’s customers.
• Collaborate with engineering, product management, and business stakeholders to identify opportunities, solve challenges, and drive data-informed decisions.

Requirements

• A degree in a technical or quantitative field is preferred. Candidates with relevant professional experience and degrees in other disciplines will also be considered

Strong organizational, communication, and attention-to-detail skills

• Ability to work efficiently and independently with minimal oversight
• At least two years of professional experience developing data science and machine learning models in a programmatic advertising environment
• At least five years of professional experience in data science and/or machine learning within a collaborative work environment
• Strong foundation in statistical analysis, deep learning, and machine learning techniques
• 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
• Openness to feedback and constructive criticism, with a commitment to continuous learning and professional development
• 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