DeepMind
Senior Data Scientist(m/w/x)
Full-timeOn-siteSenior
Zürich
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TRTripleLift
Data Scientist(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Research and optimize traffic shaping algorithms for 1 trillion+ monthly ad transactions. Quantitative Bachelor's degree and 2+ years Data Science/ML experience required. Direct impact on core ad monetization, exposure to Python, Spark, AWS, Snowflake.
Requirements
- Bachelor's degree or higher in quantitative field (Mathematics, Computer Science, Engineering)
- 2+ years experience in Data Science/Machine Learning
- Familiarity with tech stack tools (Python, Spark, AWS, Docker, DataBricks, ONNX, MySQL, Snowflake, Airflow) (plus)
- Familiarity with ML libraries (scikit-learn) for data analysis/prototyping
- Familiarity with monitoring statistical modeling performance (Prometheus, Grafana, Looker)
- Solid software engineering fundamentals (version control, testing, clean code)
- Excellent technical communication skills
- Strong analytical and problem-solving skills
- Commitment to continuous learning and knowledge sharing
Tasks
- Conduct research and experiments on traffic shaping algorithms
- Optimize traffic shaping algorithm performance
- Maximize customer performance
- Develop new traffic shaping optimization strategies
- Build proof-of-concept ML models
- Deploy ML models to full-scale production
- Support analytics projects
- Collaborate with Product, Engineering, and cross-functional teams
- Influence product strategies through analytics
- Monitor and measure statistical model performance
- Build dashboards and alerts for model effectiveness
- Build reusable modules and data structures
- Provide guidance and feedback to team members
- Own complex technical challenges
- Navigate ambiguity with initiative
- Champion engineering best practices and innovation
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Spark
- AWS
- Docker
- DataBricks
- ONNX
- MySQL
- Snowflake
- Airflow
- scikit-learn
- Prometheus
- Grafana
- Looker
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of TripleLift and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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TRTripleLift
Data Scientist(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Research and optimize traffic shaping algorithms for 1 trillion+ monthly ad transactions. Quantitative Bachelor's degree and 2+ years Data Science/ML experience required. Direct impact on core ad monetization, exposure to Python, Spark, AWS, Snowflake.
Requirements
- Bachelor's degree or higher in quantitative field (Mathematics, Computer Science, Engineering)
- 2+ years experience in Data Science/Machine Learning
- Familiarity with tech stack tools (Python, Spark, AWS, Docker, DataBricks, ONNX, MySQL, Snowflake, Airflow) (plus)
- Familiarity with ML libraries (scikit-learn) for data analysis/prototyping
- Familiarity with monitoring statistical modeling performance (Prometheus, Grafana, Looker)
- Solid software engineering fundamentals (version control, testing, clean code)
- Excellent technical communication skills
- Strong analytical and problem-solving skills
- Commitment to continuous learning and knowledge sharing
Tasks
- Conduct research and experiments on traffic shaping algorithms
- Optimize traffic shaping algorithm performance
- Maximize customer performance
- Develop new traffic shaping optimization strategies
- Build proof-of-concept ML models
- Deploy ML models to full-scale production
- Support analytics projects
- Collaborate with Product, Engineering, and cross-functional teams
- Influence product strategies through analytics
- Monitor and measure statistical model performance
- Build dashboards and alerts for model effectiveness
- Build reusable modules and data structures
- Provide guidance and feedback to team members
- Own complex technical challenges
- Navigate ambiguity with initiative
- Champion engineering best practices and innovation
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Spark
- AWS
- Docker
- DataBricks
- ONNX
- MySQL
- Snowflake
- Airflow
- scikit-learn
- Prometheus
- Grafana
- Looker
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of TripleLift and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
TripleLift
Industry
Marketing
Description
TripleLift is an advertising platform focused on elevating digital advertising through creative, quality publishers, data, and targeting. They help publishers and platforms monetize businesses via over 1 trillion monthly ad transactions.
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