Data Scientist

VirtualVocations; Renton (WA); Remote; USD 90,000 - 120,000; Full time

Job summary

A remote job company is seeking a Data Scientist to join their RevOps Data Science team. The role involves designing experiments to enhance revenue, classifying audience and content for programmatic sales, and visualizing complex data systems. The ideal candidate should possess a graduate degree in Statistics or a related field, along with experience in data processing and machine learning models.

Qualifications

• Graduate degree or equivalent in Statistics, Industrial Systems Engineering, or a comparable field.
• Familiarity with real-time advertising markets.
• Experience with processing large data sets and scripting languages.
• Knowledge of classification and regression libraries and algorithms.
• Experience with deploying and maintaining data science models in production environments.

Responsibilities

• Design and analyze experiments to improve revenue.
• Classify audience and content to support programmatic sales.
• Visualize complex systems and build understanding of data generating processes.

Skills

Experiment design

Data visualization

Audience classification

Real-time advertising knowledge

Data processing

Scripting languages

ML algorithms knowledge

Model deployment

Education

Graduate degree in Statistics or equivalent

Job description

A company is looking for a Data Scientist to join their RevOps Data Science team.

Responsibilities

• Design and analyze experiments to improve revenue
• Classify audience and content to support programmatic sales
• Visualize complex systems and build understanding of data generating processes

Qualifications

• Graduate degree or equivalent in Statistics, Industrial Systems Engineering, or a comparable field
• Familiarity with real-time advertising markets
• Experience with processing large data sets and scripting languages
• Knowledge of classification and regression libraries and algorithms
• Experience with deploying and maintaining data science models in production environments