Senior Data Scientist
About The Position
The Data Scientist / Machine Learning Engineer plays a critical role in improving the performance of TripleLift’s bidding algorithms and developing scalable machine learning solutions that drive better outcomes for customers. Within the Data Science team, this role combines statistical analysis, experimentation, and machine learning engineering to uncover market insights, optimize bidding performance, and build production-ready systems. The role partners closely with engineering, product management, and business stakeholders to identify opportunities, test hypotheses, and translate data-driven insights into measurable business impact. It involves working with large-scale datasets and building reliable machine learning systems in a collaborative, fast-paced environment. TripleLift is a Creative SSP powered by TL Spark, its agentic intelligence layer. Its platform orchestrates creative, supply, audience, and measurement across the open internet, retail media, and CTV to help brands and agencies drive measurable performance while helping publishers maximize yield and preserve high-quality user experiences.
Requirements
- 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, including building dashboards and alerts to identify performance issues and ensure models function effectively.
- Strong organizational, communication, and attention-to-detail skills.
- Ability to work efficiently and independently with minimal oversight.
- Openness to feedback and constructive criticism, with a commitment to continuous learning and professional development.
- Strong work ethic and a demonstrated commitment to delivering high-quality work.
Nice To Haves
- A degree in a technical or quantitative field is preferred.
Responsibilities
- 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.
- Collaborate with engineering, product management, and business stakeholders to identify opportunities, solve challenges, and drive data-informed decisions.
- Monitor and evaluate deep learning and machine learning systems to ensure performance, reliability, and effectiveness in production environments.
Benefits
- Medical, dental, and vision plans.
- Flexible PTO.
- 401(k) with employer match.
- Bonuses may be available as part of total compensation.
- Region-specific benefits may be available to eligible employees.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
