Applicantz ยท 2 days ago
Data Scientist Marketing
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Information TechnologySoftware
Growth Opportunities
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Responsibilities
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.
Qualification
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Required
Degree in Computer Science, Statistics, Mathematics or a related field.
3+ years of proven experience in the Marketing Analytics domain, especially in applying data science techniques to marketing problems.
8+ years of Data Science / Machine Learning experience
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, Linear programing/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
Company
Applicantz
We help teams not stress over resignations.
Funding
Current Stage
Growth StageCompany data provided by crunchbase