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

Company Overview

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