Senior Data Scientist
Develop and improve machine learning solutions for large-scale, low-latency advertising systems. Build models end to end and work with engineering and business teams to deliver predictions and actionable insights.
Responsibilities
- Improve algorithms and tools for data exploration, analysis, and feedback
- Develop predictive algorithms and approaches that inform products and business decisions
- Implement machine learning algorithms and models end to end
- Collaborate with teams to deliver services from design through production
- Write, run, and automate unit, functional, and load tests
- Evaluate machine learning methods and apply suitable approaches to the context
- Improve advertising relevance, quality, and efficiency across a global publisher network
Requirements
- At least 5 years of hands-on experience coding machine learning solutions for high-scale systems
- Master’s or PhD in computer science or mathematics
- Experience with statistics, statistical analysis, regression, data mining, or machine learning
- Experience building engineering systems at scale, including distributed systems or service-oriented architecture
- Strong programming skills and attention to architecture, performance, testing, maintainability, and software quality
- Ability to analyze scientific literature and implement relevant findings
- Ability to turn raw data into actionable business insights
- Relevant industry experience or publications in advertising technology or recommender systems
- Submit a CV in English
Nice to have
- Experience with Go, Python, Java, AWS, or Jupyter notebooks
- Knowledge of data engineering
Benefits
- Mentorship and professional development opportunities
- Modern tools