Research Data Scientist

Summary

Join iSpot as a Research Data Scientist and contribute to the company's growth by developing innovative solutions for audience measurement, attribution, and lift analytics. You will conduct in-depth data analysis, build advanced statistical models, and develop machine learning models to solve measurement problems. Collaborate with product and engineering teams to scale models for various clients in the marketing landscape. Stay current with the latest data science techniques and explore novel approaches to complex challenges. iSpot offers competitive compensation, including salary, equity, and standard benefits, along with a flexible hybrid work environment.

Requirements

• Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline
• 1-3 years of professional 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 Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources
• Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges

Preferred Qualifications

• 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

Benefits

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