Data Scientist
Tubi- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in a relevant field, such as Statistics, Mathematics, Computer Science, or Economics, and have at least two years of experience in data analysis. Strong proficiency in R, Python, or SQL is required, along with experience in machine learning and statistical modeling techniques. Familiarity with data visualization tools and methodologies is also desired.
The Data Analyst will collaborate on complex problems within the Client Data Science team, writing and optimizing R, Python, or SQL scripts for data processing. They will adapt existing tools and methods to meet evolving needs, balancing workloads across various projects and leveraging machine learning and statistical skills to inform data-driven decisions. Additionally, the Data Analyst will collect, aggregate, and manipulate data from multiple sources, applying analytical techniques to derive insights and creating clear visualizations or reports, while engaging with internal and external teams to clarify requirements and document project status in tools like JIRA.
TV ad measurement and attribution services
iSpot.tv specializes in TV Attribution, helping businesses understand the impact of their TV advertising on real-world results like store visits and sales. Their platform uses data from a large collection of TV ads and insights from 12 million opted-in Smart TVs to provide real-time measurement of ad impressions and viewer attention. iSpot primarily serves disruptive brands across various industries, offering a subscription-based service that integrates with clients' existing marketing tools to enhance the effectiveness of their TV campaigns. Unlike competitors, iSpot focuses on delivering advanced analytics and insights that allow brands to optimize their advertising strategies based on actual business outcomes. The company's goal is to empower brands to maximize their advertising investments through precise measurement and actionable insights.