Senior Research Data Scientist

Summary

Join iSpot.tv as a Senior Research Data Scientist and contribute to the growth of a leading company in the TV viewing and advertising space. You will be part of a team building innovative prototypes for audience measurement, lift analytics, and creative testing. Responsibilities include data analysis, machine learning model development, data pipeline development, and technical leadership. The ideal candidate possesses a degree in a quantitative discipline, 5+ years of data science experience, and expertise in various software tools. iSpot.tv offers a competitive compensation package including salary, equity, and standard benefits, along with a hybrid and flexible workplace policy. The company is committed to providing a stimulating work environment and opportunities for professional growth.

Requirements

• Possess a Degree in mathematics, economics, statistics, software engineering, computer science, physics, or other quantitative discipline
• Have 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

• Possess a deep technical understanding of machine learning, statistics, data science, and related fields
• Be expert in several quantitative software tools, particularly Python, R, and SQL; willingness to learn new tools as needed
• Be expert at wrangling data and debugging the results of machine learning systems
• Have experience working with high dimensional data sets
• Be pragmatic, team-oriented; build rapport and respect
• Possess strong communication, writing, and critical thinking skills; attention to detail
• Have a track record or desire to mentor top technical talent in the areas of data science, analytics predictive modeling, and machine learning
• Have strong experience in Spark

Benefits

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