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Strong employer brand, metro location, and mid-level generalist Data Scientist role drive high applicant competition.
Medium — core data engineering skills transfer widely, but panel/meter domain expertise limits cross-industry fit.
High due to explicit years requirement and mandatory Python, PySpark, SQL, and cloud proficiency.
Manage and optimize data collection and measurement strategies using panel and meter data to improve product quality and insights.
Independently design and build data pipelines and analysis plans using Python, PySpark, and SQL, incorporating proactive quality checks.
Lead end-to-end analytics projects and collaborate cross-functionally to deliver data-driven recommendations, visualizations, and support production rollouts.
4+ years of relevant experience in data science, data engineering, or advanced analytics.
Proficiency in Python, PySpark, and SQL for data manipulation and pipeline development.
Experience with cloud platforms, preferably AWS; Azure or GCP also acceptable.
Bachelor’s degree or equivalent in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field.
Demonstrated ability to work independently on analytics projects from conception to execution with strong project management skills.
Experience handling data involving hardware, software, and business rule research supporting media measurement products.
Skilled at delivering clear data visualizations and communicating complex technical concepts effectively to diverse stakeholders.