iSpot.tv

Research Data Scientist

Remote

Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Advertising, Media, BiotechnologyIndustries

Job Description: Research Data Scientist

Position Overview

iSpot is seeking a Research Data Scientist to be a key contributor to the company's growth, pushing boundaries in TV viewing and advertising measurement. The Research Data Science team develops innovative solutions for audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, the team collaborates with product and engineering to scale models for brands, publishers, networks, and agencies.

Target Cash Compensation

  • Range: $95,950 - $108,150 USD Annually

This compensation includes base salary, variable commission (for eligible roles), and annual bonus targets (for eligible roles). In addition to cash compensation, all full-time employees are eligible for iSpot’s equity plan (stock options). Non-exempt roles are eligible for pre-approved overtime pay. Individual compensation is influenced by factors such as skills, experience, qualifications, and other job-related reasons.

For more information on the total rewards package, please refer to the provided link.

Employment Type

  • Full-time (details on office-based vs. remote depend on location and responsibilities)

Location Type

  • Hybrid & Flexible Workplace Policy: iSpot supports a hybrid and flexible workplace.
    • Employees local to offices (Bellevue, WA; El Segundo, CA; New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week.
    • Employees in roles not office-based and located further from offices will work a fully remote schedule.
    • Please discuss specific details with your recruiter.

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 Engineering teams to design and implement efficient data pipelines for collecting, processing, and transforming 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 and Education Requirements

  • Education: Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline. A master's degree is preferred but not required.
  • Experience: 1-3 years of professional experience in data science and/or modeling.

Preferred Skills

  • 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.
  • Expertise in data wrangling and conducting thorough data analyses.
  • Experience working with high-dimensional datasets.
  • Pragmatic, team-oriented, with the ability to build rapport and respect.
  • Strong communication, writing, and critical thinking skills; attention to detail.

Company Information

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

Skills

Data Analysis
Statistical Modeling
Machine Learning
Data Pipeline Development
Python
R
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

Benefits

Stock Options
Hybrid Work Options
Flexible Work Hours

Risks

Competition from companies like FuboTV could challenge iSpot's market share.
Former iSpot executives joining competitors may lead to knowledge transfer risks.
Complex media landscape may affect the effectiveness of iSpot's collaborations.

Differentiation

iSpot.tv offers real-time analytics for TV ads, unlike legacy solutions.
The company provides cross-platform measurement, unifying TV and digital ad performance.
iSpot.tv's platform integrates seamlessly with existing marketing tools for enhanced ad optimization.

Upsides

Growing demand for cross-platform measurement boosts iSpot.tv's market potential.
Partnerships with companies like Roku enhance iSpot.tv's data accuracy and ad targeting.
The rise of programmatic TV advertising increases demand for iSpot.tv's advanced capabilities.

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