What You’ll Be Part Of

An iSpot Research Data Scientist (Early Career) is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot’s audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Responsibilities

• Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
• Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
• Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
• Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Qualifications & Education

• Bachelor’s degree in a quantitative field (e.g., mathematics, economics, statistics, computer science, physics, social sciences); A master's degree is preferred but not required.
• Internship, research project, or coursework in data science, machine learning, or analytics (industry experience a plus but not required).

Preferred Skills & Attributes

• Foundational understanding of statistics, data science, and/or machine learning concepts.
• Familiarity with one or more data tools (e.g., Python, R, SQL, Spark, or similar) and willingness to learn new technologies.
• Comfortable working with data: cleaning, exploring, and visualizing.
• Curious, collaborative, and eager to learn from experienced professionals.
• Strong communication, writing, and critical-thinking skills; attention to detail.

Cash compensation: $85,000 USD Annually