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Tech Stack
Tools & technologiesPythonSparkSQL
About the role
Key responsibilities & impact- Lead research, discovery, and end-to-end development for new and existing machine learning models relating to media measurement
- Extract, manipulate, and analyze massive datasets to uncover insights that shape and direct the product roadmap
- Plan, develop, and maintain data science projects end to end with minimal supervision
- Partner with engineering and product teams on technical design, deployment, and ongoing validation of scalable machine learning models
- Collaborate with cross-functional engineering and product teams on model design and implementation
- Develop, validate, and maintain statistical and machine learning models
- Conduct ongoing evaluation and validation of internal and external product methodologies
- Transform complex statistical outputs into compelling visualizations and presentations for technical and non-technical stakeholders
- Communicate findings and statistical recommendations through clear visualizations and presentations
Requirements
What you’ll need- 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 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 preferred
- Experience with multivariate testing preferred
- Experience with predictive modeling preferred
- Experience modeling and quantifying outcomes by linking attitudinal survey data to behavioral purchase data preferred
- Experience in online survey methodologies preferred
- Ability to write and optimize SQL queries preferred
- Experience working with big data technologies such as Spark preferred