(Hybrid - San Francisco, US)
Description
Our Partner is seeking for a Data Scientist with 5+ years of experience to work on a hybrid schedule in San Francisco, US.
Key Responsibilities
- 5+ years of overall experience in Data Science.
- 3+ years of relevant experience in Marketing Analytics.
- Design and implement A/B testing procedures to understand the impact of various marketing strategies.
- Develop and maintain attribution models to identify the sequence of touchpoints that lead to a desired outcome.
- Use time series projection and linear programming/optimization techniques to forecast marketing trends.
- Apply machine learning techniques for classification, regression, and clustering to derive insights from complex data sets.
- Build and refine scoring models for accounts and leads to drive more efficient marketing spend.
Qualifications
- Degree in Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of proven experience in the Marketing domain, especially in applying data science techniques to marketing problems.
- Proficiency in Python, SQL, and Snowflake.
- Solid knowledge of standard probability distributions and statistical tests.
- Previous experience with machine learning techniques related to classification, regression, and clustering.
- Familiarity with A/B testing, Attribution, Time series projection, and Linear programming/Optimization.
- Ability to communicate clearly and effectively with stakeholders at all levels of the business.
- Able to apply machine learning techniques for classification, regression, and clustering to derive insights from complex data sets
Pay Rate: $123-$125/h (depending on skills and experience) under a W-2 contract