Senior Data Scientist

Cint • Remote, REMOTE

6h • $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 end-to-end research and development of statistical and machine learning models, analyze large datasets to inform product direction, collaborate with product and engineering teams on scalable model design and deployment, 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; market research or advertising analytics experience is preferred.
• Ability to independently manipulate, analyze, and interpret large data sources.
• Deep understanding of advanced statistical techniques and concepts, 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 applying 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 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 with online survey methodologies.
• Ability to write and optimize SQL queries.
• Experience working with big data technologies such as Spark.

Responsibilities

• Lead research, discovery, and development for new and existing statistical and machine learning models relating to media measurement.
• Plan, develop, and maintain data science projects end to end with minimal supervision.
• Extract, manipulate, and analyze large, complex datasets to generate insights that inform product strategy and the product roadmap.
• Collaborate with engineering and product teams on model design, technical implementation, deployment, and ongoing validation.
• Develop, validate, and maintain statistical and machine learning models.
• Evaluate and validate internal and external product methodologies on an ongoing basis.
• Communicate findings and statistical recommendations through clear visualizations and presentations for technical and non-technical stakeholders.

What This Job Offers

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