Senior Data Scientist

About TripleLift

We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance.

As part of the Vista Equity Partners portfolio, we are NMSDC certified, qualify for diverse spending goals and are committed to economic inclusion. Find out how TripleLift raises up the programmatic ecosystem attriplelift.com.

Overview

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 our 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.

In this position, you will partner closely with engineering, product management, and business stakeholders to identify opportunities, test hypotheses, and translate data-driven insights into measurable business impact. This is an exciting opportunity for someone who enjoys solving complex problems, working with large-scale datasets, and building reliable machine learning systems in a collaborative, fast-paced environment.

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.

Core Technologies

The Data Science team uses a wide range of technologies to solve complex problems and support scalable data science and machine learning solutions. We believe in using the right tools for the right job and continually evaluating new technologies as our needs evolve.

• Languages: Python
• Frameworks and Tools: Spark, Airflow, Databricks, ONNX, Docker
• Databases and Data Storage: MySQL, Snowflake, Amazon S3, Parquet
• Cloud Infrastructure: Amazon Web Services (AWS)
• Machine Learning Libraries: TensorFlow, PyTorch, Scikit-learn, Spark
• Monitoring and Visualization: Prometheus, Grafana

Education & 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.
• 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

Life at TripleLift

At TripleLift, we’re a team of great people who like who they work with and want to make everyone around them better. This means being positive, collaborative, and compassionate. We hustle harder than the competition and are continuously innovating.

Learn more about TripleLift and our culture by visiting our LinkedIn Life page.

Establishing People, Culture and Community Initiatives

At TripleLift, we are committed to building a culture where people feel connected, supported, and empowered to do their best work. We invest in our people and foster a workplace that encourages curiosity, celebrates shared values, and promotes meaningful connections across teams and communities. We want to ensure the best talent of every background, viewpoint, and experience has an opportunity to be hired, belong, and develop at TripleLift. Through our People, Culture, and Community initiatives, we aim to create an environment where everyone can thrive and feel a true sense of belonging.

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TripleLift does not accept unsolicited resumes from any type of recruitment search firm. Any resume submitted in the absence of a signed agreement will become the property of TripleLift and no fee shall be due.