Research Data Scientist 1

About iSpot

iSpot is a leading TV and video advertising measurement platform helping brands, publishers, and agencies better understand audience behavior, attribution, and advertising effectiveness.

The Research Data Science team develops innovative methodologies and scalable machine learning systems powering audience measurement, attribution analytics, and creative testing solutions.

Role Overview

iSpot is seeking a Research Data Scientist 1 to help build advanced machine learning and statistical models for advertising and TV audience measurement.

In this role, you will analyze large-scale datasets, develop ML models, and collaborate with engineering and product teams to improve advertising analytics capabilities in a rapidly evolving media landscape.

Key Responsibilities

Data Analysis & Statistical Modeling

• Conduct in-depth analysis on large demographic and viewing datasets
• Build advanced statistical and predictive models
• Extract actionable insights from complex datasets

Machine Learning Development

• Develop, train, and deploy machine learning models
• Solve measurement and attribution challenges using modern ML techniques
• Improve audience and advertising analytics systems

Data Pipeline & Engineering Collaboration

• Collaborate with engineering teams to build scalable data pipelines
• Process and transform data from multiple sources efficiently
• Support scalable production-level modeling systems

Research & Innovation

• Stay current with emerging data science and machine learning techniques
• Explore novel modeling approaches and research methodologies
• Contribute to innovation across analytics and measurement systems

Required Skills & Qualifications

• Degree in:
• Mathematics
• Statistics
• Economics
• Computer Science
• Physics
• Social Sciences
• Other quantitative disciplines
• 1–3 years professional experience in:
• Data science
• Statistical modeling
• Machine learning
• Strong understanding of:
• Machine learning
• Statistics
• Data science workflows
• Advanced proficiency with:
• Python
• R
• SQL
• Experience analyzing high-dimensional datasets
• Strong communication and critical-thinking skills
• Attention to detail and strong collaboration abilities

Preferred Qualifications

• Master’s degree in a quantitative field
• Experience with advertising analytics or audience measurement
• Experience building scalable ML systems and data workflows

Work Details

• Remote-first role with hybrid flexibility depending on location
• Hybrid schedule available near Bellevue, WA or New York, NY offices
• Fully remote for candidates located outside office regions

Compensation & Benefits

• Annual salary range: $95,950 – $106,000 USD
• Equity/stock options available for eligible employees
• Competitive benefits package and flexible workplace policy

Additional Notes

• Applicants must already be authorized to work in the United States
• No visa sponsorship available
• Equal opportunity employer