Senior Data Scientist (Research Statistician)

Responsibilities

• Learn and become an expert in US TV Audience Measurement, with a focus on data structures, computations, and sampling/weighting.
• Conduct research and analytics to ensure methodologies are fit for purpose and working as intended; troubleshoot, diagnose, and resolve when they are not.
• Independently write custom Python, PySpark and SQL code.
• Develop, implement and maintain good programming standards and practices across our data science and analytics codebase.
• Use GitLab and cloud development tools e.g. Databricks to foster data science and analytic reproducibility.
• Support analyses for Data Science teams including custom requests, client inquiries, impact of changing methodologies, standards and best practices.
• Examine analysis specifications for completeness, determine how to execute the analysis, modify specifications as needed, provide an estimated delivery date, and accurately deliver analyses on time with a summary of the key insights.
• Proactively gather information, as needed, to work independently as well as in a team environment.
• Key tasks include – but are not limited to – sample weighting, data integration, examining large volumes of data, identifying and explaining trends and/or discrepancies, and identifying methodological and process improvements.

Qualifications

• Bachelor’s or Master’s (preferred) degree in a quantitative research field, such as data science, statistics, survey research, biological/physical sciences, etc.
• 3-5 years research and analytic experience in a business setting.
• Outstanding statistical and analytical skills.
• Strong proficiency with Python, PySpark, SQL, GitLab, and AWS S3.
• Collaborative code development experience, including version control and code review.
• Excellent problem solving and critical thinking skills
• Excellent verbal and written communication skills.
• Excellent coding fundamentals.
• Excellent troubleshooting and debugging skills.
• Curiosity and skepticism