Lead Data Scientist - Marketing

Requirements

• You have expert knowledge of Python, and are able to make and justify design decisions in your Python code.
• You have built Marketing Mix Modelling (MMM) models and can translate the results into actionable strategies.
• You have experience in building lifetime value (LTV) models.
• You are familiar with a range of model types and know when and why to use gradient boosting, neural networks, linear regression, or a blend of these.
• You have a proficient understanding of statistics, particularly Bayesian reasoning.
• You are able to take ownership of a project and see it through from end to end.
• You are data-driven with a structural approach and can prioritize the value you can add.
• You see the bigger picture of business processes and can define precisely where and how a model would fit into the stack.
• You are comfortable visualizing and communicating data to various audiences.

Nice to Haves

• You have a good understanding of causal inference concepts and experience with machine learning models for causal inference.
• You have hands-on experience evaluating marketing campaigns through incrementality testing and geo-experiments.

What You'll Be Doing

• You will help the Marketing tribe find the biggest opportunities for growth.
• You will develop predictive models to calculate Customer Lifetime Value (LTV) and model customer behavior data and product usage.
• You will work closely with Data Analysts and help them understand and use models that you build.
• Your average day will include building new models, maintaining models used by everyone in the marketing tribe, and evaluating new ideas.

Perks and Benefits

• Have a direct impact by partnering with marketing teams to help millions of people and businesses.
• Work autonomously and create your own vision while gathering feedback from colleagues.
• Be part of a diverse team of Data scientists, Analysts, and Marketers.
• Contribute to the mission of making money without borders the new normal.