Senior Data Scientist

Cint • Remote, REMOTE

12h • $115,000 - $165,000 • Remote

About The Position

As a Senior Data Scientist, you will work at the intersection of product, engineering, and advanced analytics. You will architect statistical methodologies and machine learning codebases for Cint’s Media Measurement products, translating global data into strategic insights. You will lead research and end-to-end development of statistical and machine learning models, analyze large datasets to inform product strategy, collaborate on model design and implementation, and communicate findings to technical and business audiences.

Requirements

• Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or another quantitative field.
• At least 5 years of experience in a data science capacity; experience in market research or advertising analytics is preferred.
• Ability to independently manipulate, analyze, and interpret large data sources.
• Deep understanding of advanced statistical techniques, including distribution properties, 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 of statistical and modeling techniques.
• Strong analytical skills focused on data validation and accuracy.
• Ability to independently research and learn new methods, tools, and techniques.
• Self-starter able to carry projects end to end with minimal supervision.
• Proficiency in Python for statistical analysis and machine learning model implementation.

Nice To Haves

• 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 with big data technologies such as Spark.

Responsibilities

• Lead research, discovery, and development of new and existing statistical and machine learning models for media measurement.
• Plan, develop, and maintain data science projects end to end with minimal supervision.
• Extract, manipulate, and analyze large, complex datasets to uncover insights and inform product strategy and the product roadmap.
• Collaborate with engineering and product teams on the technical design, deployment, and implementation 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.
• Translate statistical outputs and recommendations into clear visualizations and presentations for technical and non-technical stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior