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
Media, Advertising, BiotechnologyIndustries

Job Description: Research Data Scientist

Position Overview

An 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. 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 and Education Requirements

  • 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

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
  • Expert at wrangling data and conducting thorough data analyses
  • Experience working with high dimensional data sets
  • Pragmatic, team-oriented; builds rapport and respect
  • Strong communication, writing, and critical thinking skills; attention to detail

Compensation and Benefits

  • Target Cash Compensation Range: $95,950 - 108,150 USD Annually
  • Compensation packages consist of salary and equity in one of Seattle’s hottest start-ups.
  • Other standard benefits are provided.
  • The cash compensation includes base salary, variable commission for eligible roles, and annual bonus targets for eligible roles.
  • All full-time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options.
  • Non-exempt roles will also be eligible for (pre-approved) overtime pay.
  • Individual compensation packages are influenced by factors unique to each candidate, including their skills, experience, qualifications, and other job-related reasons.
  • For more information on the total rewards package, go HERE.

Workplace Policy

  • Hybrid & Flexible Workplace Policy: iSpot supports a hybrid and flexible workplace.
  • Employees may be designated as full-time or part-time office-based or fully remote, depending on location and work responsibilities.
  • A hybrid work schedule indicates working in the office some days and from home other days, allowing for flexibility while encouraging consistency.
  • Those local or living in surrounding areas to our offices (Bellevue, WA; El Segundo, CA; New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week.
  • Those in a role not office-based and located further away from our offices will work a fully remote schedule.
  • If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know, and they will discuss with you.

Employment Type:

  • [Not Specified]

Location Type:

  • [Not Specified]

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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