Senior Research Data Scientist

Summary

Join iSpot as a Senior Research Data Scientist and contribute to the company's growth by pushing boundaries in TV viewing and advertising measurement. You will be part of a team building prototypes for innovations in audience measures, lift analytics, and creative testing. Responsibilities include conducting in-depth data analysis, developing machine learning models, designing data pipelines, providing technical leadership, and staying up-to-date with the latest data science techniques. The ideal candidate possesses a degree in a quantitative discipline and 5+ years of experience in data science and/or modeling. iSpot offers a competitive compensation package including salary, equity, and standard benefits, along with a flexible hybrid workplace policy.

Requirements

• Degree in mathematics, economics, statistics, software engineering, computer science, physics, or other quantitative discipline
• 5+ years of experience in data science and/or modeling

Responsibilities

• Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets
• Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems
• Work with our Data Engineering team to design and implement efficient data pipelines to collect, process, and transform data from various sources
• Provide technical guidance and mentorship to junior data scientists, ensuring best practices and standards are followed
• Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges

Preferred Qualifications

• An advanced degree is preferred but not required
• Deep technical understanding of machine learning, statistics, data science, and related fields
• Expert in several quantitative software tools, particularly Python, R, and SQL; willingness to learn new tools as needed
• Expert at wrangling data and debugging the results of machine learning systems
• Experience working with high dimensional data sets
• Pragmatic, team-oriented; builds rapport and respect
• Strong communication, writing, and critical thinking skills; attention to detail
• Track record or desire to mentor top technical talent in the areas of data science, analytics predictive modeling, and machine learning
• Strong experience in Spark is preferred but not required

Benefits

• Salary and equity in one of Seattle’s hottest start-ups
• Other standard benefits
• Hybrid & Flexible Workplace Policy
• Stock options
• (pre-approved) overtime pay