Data Scientist Marketing Analytics

VISA SPONSORSHIP IS NOT AVAILABLE. Hybrid role in San Francisco

Our large, Fortune Technology client is ranked as one of the best companies to work with, in the world. As a global leader in 3D design, engineering, and entertainment software, they foster progressive culture, creativity, and a flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader.

Looking for candidate with experience in Data Science, Machine Learning and Marketing Analytics domain experience

Qualifications:

• 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

Key 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.