Note: The job is a remote job and is open to candidates in USA. Cint is hiring a Senior Data Scientist to develop statistical methodologies and machine learning models for its Media Measurement products. The role turns large-scale data into product insights and partners with engineering and product teams to design, deploy, validate, and communicate model findings.
Responsibilities
- Lead research, discovery, and development phases for new and existing statistical models relating to media measurement
- Plan, develop, and maintain data science projects 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
- Develop, validate, and maintain statistical and machine learning models
- Conduct ongoing evaluation and validation of internal and external product methodologies
- Communicate findings and statistical recommendations through clear visualizations and presentations for technical and non-technical stakeholders
Skills
- 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
- 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
- Stochastic Modeling or Simulation
- Strong knowledge of machine learning techniques, such as:
- Clustering
- Regression and their real-world trade-offs
- 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
- Preferably in market research or advertising analytics
- Experience in media measurement and digital attribution
- Experience with multivariate testing
- Experience with predictive modeling
- Experience modeling and quantifying outcomes by linking attitudinal survey data to behavioral purchase data
- Experience in online survey methodologies
- Ability to write and optimize SQL queries
- Experience working with big data technologies, such as Spark
Benefits
- Remote work
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