iSpot.tv

Research Data Scientist 1

iSpot.tv$95K — $106K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Degree in quantitative discipline (math, stats, computer science, etc.); master's preferred.
  • 1-3 years of experience in data science or modeling.
  • Technical knowledge in machine learning and related fields.
  • Advanced proficiency in Python, R, and/or SQL.
  • Experience with high-dimensional datasets.

Responsibilities

  • Conduct in-depth data analysis to derive insights from viewing and demographic data.
  • Develop and deploy machine learning models to address measurement challenges.
  • Collaborate with engineering teams to create efficient data pipelines.
  • Stay updated on new data science methods and explore innovative problem-solving approaches.

Benefits

  • Flexible hybrid workplace policy allowing remote or office work.
  • Participation in iSpot's equity plan for stock options.
  • Supportive team-oriented environment that values collaboration.
  • Emphasis on professional growth and staying current with technology.
Full Job Description
Immigration / Work Authorization Notice:Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

What You'll Be Part Of:

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


Target cash compensation range: $95,950 - $106,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, 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 different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While 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 further.

#LI-Remote

If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!

About iSpot.tv

iSpot.tv is a television advertising analytics company that provides real-time data and insights into TV advertising campaigns. The company's platform tracks TV ads and provides data on ad spend, impressions, and audience engagement. iSpot.tv's customers include major brands and advertising agencies. The company was founded in 2012 and is headquartered in Sherman Oaks, California.
Learn more about iSpot.tv
Size
200 employees
Industry
Founded
2012

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