Senior Data Scientist

Join our team as a Senior Data Scientist, where you will play a crucial role in shaping the future of the ResTech industry. You will be responsible for architecting statistical methodologies and machine learning codebases, leading the development of new and existing models, and analyzing large datasets to inform our product strategy. You will collaborate closely with engineering and product teams, communicate findings to diverse audiences, and maintain data science projects with minimal supervision.

• Architect statistical methodologies and machine learning codebases for Media Measurement products.
• Lead research, discovery, and development phases for new and existing machine learning models.
• Collaborate with cross-functional teams to align on technical design, deployment, and validation of models.

• Strong knowledge of machine learning techniques, such as:
• Deep understanding of advanced statistical techniques and concepts, including:
• Sampling Theory
• Survey Design
• Experience in media measurement and digital attribution
• Clustering
• Tree-based models and their real-world trade-offs
• Regression and their real-world trade-offs
• Ability to manipulate, analyze, and interpret large data sources independently
• Experience with multivariate testing
• Stochastic Modeling or Simulation
• 5 years of experience in a data science capacity, preferably in market research or advertising analytics
• Proficiency in Python for statistical analysis and machine learning model implementation
• Working knowledge in the application of statistical and modeling techniques
• Ability to write and optimize SQL queries
• Strong analytical skills with a focus on data validation and accuracy
• Master degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or another quantitative field
• Self-starter capable of carrying out projects end to end with minimal supervision
• Hypothesis Testing
• Experimental Design, Regression or Predictive Modeling
• Experience with predictive modeling
• Ability to independently research and learn new methods, tools, and techniques
• Properties of Distributions
• Experience modeling and quantifying outcomes by linking attitudinal survey data to behavioral purchase data
• Parametric and Non-Parametric Tests
• Experience working with big data technologies, such as Spark
• Experience in online survey methodologies

USD 115,000 - 165,000