Senior Data Scientist

• Architect statistical methodologies and machine learning codebases powering Media Measurement products.
• Lead research, discovery, and end-to-end development for new and existing machine learning and statistical models related to media measurement.
• Extract, manipulate, and analyze massive and complex datasets to uncover insights that shape product strategy and roadmap.
• Plan, develop, and maintain data science projects end to end with minimal supervision.
• Partner with engineering and product teams on technical design, deployment, implementation, and ongoing validation of scalable machine learning models.
• Develop, validate, and maintain statistical and machine learning models.
• Conduct ongoing evaluation and validation of internal and external product methodologies.
• Transform statistical outputs into visualizations and presentations for technical and non-technical stakeholders.
• Communicate findings and statistical recommendations clearly to diverse business and technical audiences.

• Master degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or another quantitative field.
• 5 years of experience in a data science capacity, preferably in market research or advertising analytics.
• Ability to manipulate, analyze, and interpret large data sources independently.
• Deep understanding of advanced statistical techniques and concepts, including properties of distributions, hypothesis testing, parametric and non-parametric tests, survey design, sampling theory, experimental design, regression or predictive modeling, and stochastic modeling or simulation.
• Strong knowledge of machine learning techniques, including clustering, regression and their real-world trade-offs, and tree-based models and their real-world trade-offs.
• Working knowledge in the application of statistical and modeling techniques.
• Strong analytical skills with a focus on data validation and accuracy.
• Ability to independently research and learn new methods, tools, and techniques.
• Self-starter capable of carrying out projects end to end with minimal supervision.
• Proficiency in Python for statistical analysis and machine learning model implementation.
• Experience in media measurement and digital attribution (nice to have).
• Experience with multivariate testing (nice to have).
• Experience with predictive modeling (nice to have).
• Experience modeling and quantifying outcomes by linking attitudinal survey data to behavioral purchase data (nice to have).
• Experience in online survey methodologies (nice to have).
• Ability to write and optimize SQL queries (nice to have).
• Experience working with big data technologies such as Spark (nice to have).