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What You Will Deliver:
- Lead the research, discovery, and end to end development phases for new and existing machine learning models relating to media measurement.
- Extract, manipulate, and analyze massive datasets to uncover insights that shape and direct our product roadmap.
- Partner closely with engineering and product teams to align on the technical design, deployment, and ongoing validation of scalable machine learning models.
Key Responsibilities:
- Plan, develop, and maintain data science projects from end to end with minimal supervision.
- Analyze large, complex datasets to extract insights that inform product strategy.
- Collaborate with cross-functional engineering and product teams on model design and implementation.
Qualifications:
- Master's degree in Statistics, Data Science, or a quantitative field with 5+ years of experience in data science.
- Deep understanding of advanced statistical techniques and machine learning methods.
- Proficient in Python for statistical analysis and model implementation.
Cint
Cint is a pioneer in research technology, enabling customers to post questions and get answers from real people to build business strategies and measure digital advertising. With nearly 300 million respondents in over 150 countries, the company feeds the world's curiosity.