Senior Data Scientist — ML Engineer for Bidding Systems

TripleLift; Zürich; On-site; CHF 120,000 - 180,000; Full time

Job summary

TripleLift, based in Zürich, Switzerland, seeks a Data Scientist / Machine Learning Engineer to enhance bidding algorithms and build scalable ML solutions. You will partner with engineering, product management, and business teams to translate data-driven insights into measurable outcomes and production-ready systems.

The role requires strong expertise in statistics, deep learning, and ML engineering, with hands-on TensorFlow/PyTorch experience and a track record in high-volume environments.

Qualifications

• A degree in a technical or quantitative field is preferred.
• 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

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.

Skills

Python

Statistics

Deep learning

ML engineering

Education

Bachelor's degree in a technical field

Tools

Spark

Airflow

Databricks

ONNX

Docker

TensorFlow

PyTorch

Scikit-learn

Prometheus

Grafana

Job description

TripleLift, based in Zürich, Switzerland, seeks a Data Scientist / Machine Learning Engineer to enhance bidding algorithms and build scalable ML solutions. You will partner with engineering, product management, and business teams to translate data-driven insights into measurable outcomes and production-ready systems.

The role requires strong expertise in statistics, deep learning, and ML engineering, with hands-on TensorFlow/PyTorch experience and a track record in high-volume environments.