Data Scientist and Business Analyst, Content Analytics
4 weeks ago
ROLE RESPONSIBILITIES
Ability to code in SQL, Python, Spark etc. to be able to extract data from various data tables on the cloud and create workflows/pipelines for various custom solutions Craft scalable, interpretable, and sophisticated processes to solve customer problems quickly and accurately Collaborate and lead time-sensitive and critical ad hoc requests Cultivate a team environment focused on continuous learning, where innovative audience measurement methodologies are developed and refined through collaborative effort Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance
QUALIFICATIONS & SKILLS
Holds an advanced degree in a relevant technical discipline such as Computer Science, Electronics, Computer Applications, Statistics, Mathematics, or a related field 5+ years of experience in US media research (Television, Audio, Digital) with strong media research fundamentals and experience in Nielsen methodologies, and computations Has 1-2 years of experience in statistical, data science, tech or business intelligence roles Proven ability to merge and transform diverse internal and external datasets to create innovative features High proficiency in Python, SQL, Google Scripts and PySpark; experience with ETL (, Airflow) and cloud-based environments (, AWS) is a plus Proficiency in statistical analysis, mathematical modeling, and machine learning techniques; expertise in sampling, weighting, and projections. Deep knowledge of handling big data environments and understanding of data engineering principles a plus. Expert in data visualization tools (Spotfire, Tableau, etc) and technical communication of complex data Familiarity with big data technologies like Hadoop, Spark, , cloud AI platforms, and containerization Ability to merge and transform diverse internal and external datasets to create innovative features and new custom product solutions Demonstrates strategic thinking, understanding the broader impact of data insights on product and business objectives Ability to turn numbers into stories our clients can understand and respond to; ability to interpret data into actionable insights, provide ideas on feasibility and come up with alternative solutions-
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