iSpot Research Data Scientist 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.
Requirements
- Technical understanding of machine learning, statistics, data science, and related fields
- Advanced user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
- Expert at wrangling data and conducting thorough data analyses
- Experience working with high dimensional data sets
Responsibilities
- Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
- Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
- Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
- Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.
Other
- Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline.
- A master's degree is preferred but not required.
- 1-3 years of professional experience in data science and/or modeling
- Pragmatic, team-oriented; builds rapport and respect
- Strong communication, writing, and critical thinking skills; attention to detail
- Hybrid & Flexible Workplace Policy
- iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
