Senior Data Scientist (AdTech)

Location: Zürich, Switzerland; other locations: Pune and Toronto.

Company

hirify.global is an advertising platform that helps publishers and platforms monetize digital content through programmatic advertising, smart targeting, and premium ad formats.

What you will do

• Design and run experiments to improve bidding algorithm performance and customer outcomes.
• Apply statistical analysis and advanced analytics to understand market dynamics and provide actionable recommendations.
• Develop, implement, and maintain scalable, production-ready machine learning pipelines and systems.
• Collaborate with engineering, product management, and business stakeholders to identify opportunities and support data-informed decisions.
• Monitor and evaluate deep learning and machine learning systems for production performance, reliability, and effectiveness.

Requirements

• At least five years of professional experience in data science and/or machine learning in 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 for prototyping models for high-volume, distributed systems.
• Experience monitoring and measuring statistical model performance with tools such as Prometheus and Grafana, including building dashboards and alerts.
• 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.
• Core technologies include Python, Spark, Airflow, Databricks, ONNX, Docker, MySQL, Snowflake, Amazon S3, Parquet, AWS, Scikit-learn, Prometheus, and Grafana.

Nice to have

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

Culture & Benefits

• Collaborative, positive, compassionate, and feedback-oriented work environment.
• Focus on continuous innovation, curiosity, and professional development.
• People, culture, and community initiatives support connection, inclusion, and belonging.
• Cross-functional collaboration and opportunities to work with diverse teams and communities.