Data Scientist

• Apply advanced statistical techniques and machine learning algorithms to identify key drivers of user and revenue growth across different marketing channels.
• Develop new statistical models as well as maintain/improve existing models like user lifetime value models.
• Build predictive models to forecast the impact of marketing tactics on business outcomes and recommend optimal marketing budgets and strategies.
• Conduct thorough model validation and performance testing to ensure accuracy and reliability of the developed models.
• Present findings and insights to stakeholders in a clear and concise manner, and provide actionable recommendations for improving marketing effectiveness and ROI.
• Evolve our experimentation capabilities and tools to evaluate the business impact of marketing investments.
• Develop end-to-end marketing mix models to evaluate the effectiveness of various marketing channels and campaigns.
• Advise on experimentation best practices; identifying flaws in experiment practices and results; building tools for experiment analysis; etc.
• Identify the right measures of success for teams and help them track those metrics. Own the full lifecycle of those metrics from logging requirements, metrics definition, prototype pipelines, and improvements.
• Write clear, actionable analyses that help teams uncover opportunities and identify areas of improvement to our existing strategies.

Senior Data Scientist, Algorithms

Salary

Job Level

Tech Stack

About the role

Requirements

Associate Data Scientist

Staff Machine Learning Engineer

Staff Data Scientist, Search and Personalization