Data Scientist

Responsibilities:

• Conduct causal inference, including hierarchical modeling, difference-in-differences, and using controls, with expertise in longitudinal design.
• Apply Machine Learning skills for imputation and quick drivers analyses.
• Familiarity with Campaign Effectiveness data and database, including an understanding of the unique methodologies required for this design.
• Proficient in SQL for data retrieval, manipulation, and database creation across multiple studies.
• Perform static annual norms calculations efficiently, with knowledge of post-curve completion code.
• Contribute to institutional knowledge regarding normative standards, cleanup processes, and consequences.
• Execute data pulls for curves using SQL, ensuring alignment with normative standards.
• Conduct all procedures and cleaning in R, recognizing the time-intensive nature of replicating processes.

Qualifications:

• Education: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience as a Data Scientist, preferably in Campaign Effectiveness or Market Research domain.
• Expertise in causal inference, machine learning, and SQL.
• Proficiency in advanced R program for modeling and analytics.
• Strong understanding of data governance and database management.

Key Skills:

• Programming.
• Statistics.
• Machine learningvision.
• Imagination.
• Creativity.