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- Applied experience in Bayesian modeling, Casual Inference techniques (PSM/W, meta-learning, etc.), or constraint based optimization
- 3+ years of experience working in a role focused on consumer analytics, measurement, quantitative research, or related field.
- 3+ years of experience building and applying predictive models for causal inference, attribution, forecasting, segmentation, or optimization.
- 3+ years of experience with complex, Big Data databases (Hadoop, Snowflake, BigQuery, Redshift, etc.), statistical programs and other tools (Spark, Python, R, etc.) with an aptitude to learn other technical applications quickly to compile and interpret quantitative data. Proven track record of extracting accurate conclusions and identifying trends from quantitative information.
- Experience participating in and successfully delivering large scale, multi-month, enterprise initiatives.
- Proficient knowledge and experience in visualizing and communicating complex quantitative analysis in a clear, precise, and actionable manner.
- Experience solving difficult and unclear analytical problems using a combination of scientific approaches from the fields of mathematics, statistics, and operation research.
- 3+ years of experience working in marketing, digital experiences, or other consumer-focused roles focused on consumer driven analytics including building out consumer based models.
- Experience working with marketing and response data from various media channels, including television, social media, online video, search, email, mobile, and SMS.
- Experience working with structure and unstructured data
- Experience working with video stream, linear viewership data, and digital data.
- ID: #43663353
- State: California Los angeles 90013 Los angeles USA
- City: Los angeles
- Salary: USD TBD TBD
- Job type: Contract
- Showed: 2022-06-28
- Deadline: 2022-08-26
- Category: Et cetera