Research Data Scientist

Remote

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Advertising, Media, BiotechnologyIndustries

Requirements

Candidates should possess a degree in a quantitative discipline such as mathematics, economics, statistics, computer science, physics, or social sciences, with a preference for a master's degree. A minimum of 1-3 years of professional experience in data science and/or modeling is required. Proficiency in quantitative software tools, particularly Python, R, and/or SQL, along with experience handling high-dimensional data, is necessary. Strong communication, writing, critical thinking, and data wrangling skills are also essential.

Responsibilities

The Research Data Scientist will conduct in-depth data analysis and build advanced statistical models using large viewing and demographic datasets. They will develop, train, and deploy machine learning models to address measurement challenges and collaborate with engineering teams to design and implement data pipelines. Additionally, the role involves staying current with data science techniques and exploring innovative solutions to complex problems.

Skills

Data Analysis

Statistical Modeling

Machine Learning

Data Pipeline Development

Python

SQL

Statistics

Data Science

iSpot.tv

TV ad measurement and attribution services

About iSpot.tv

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.

Bellevue, WashingtonHeadquarters

2012Year Founded

$372.3MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Consumer Software, EntertainmentIndustries

201-500Employees