Senior Data Scientist - Lead ML for Global Media Insights

Cint; United States; On-site; USD 115,000 - 165,000; Full time

Job summary

Cint is seeking a Senior Data Scientist to sit at the intersection of product, engineering, and analytics. You will architect statistical methodologies and ML codebases powering our Media Measurement products to translate global data into strategic insights.

You will partner with engineering and product teams to design, deploy, and validate scalable models and communicate findings to diverse audiences.

Qualifications

• 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.
• Strong foundation in advanced statistical techniques and concepts including distributions, hypothesis testing, regression/predictive modeling, experimental design, and stochastic modeling.
• Proficiency in Python for statistical analysis and machine learning model implementation.

Responsibilities

• Lead research, discovery, and end to end development phases for new and existing machine learning models relating to media measurement.
• Extract, manipulate, and analyze massive datasets to uncover insights that shape product roadmap.
• Collaborate with engineering and product teams on model design, deployment, and validation of scalable ML models.
• Transform complex statistical outputs into visualizations and presentations for technical and non-technical audiences.

Skills

Python

Statistical modeling

Machine learning

Data analysis

Independent researcher

Visualization

Education

Master's degree in Statistics/Data Science

Tools

SQL

Spark

Python libraries (pandas, scikit-learn)

Job description

Cint is seeking a Senior Data Scientist to sit at the intersection of product, engineering, and analytics. You will architect statistical methodologies and ML codebases powering our Media Measurement products to translate global data into strategic insights.

You will partner with engineering and product teams to design, deploy, and validate scalable models and communicate findings to diverse audiences.