Business Data Scientist, Machine Learning

Google's Global Business Strategy and Operations team is seeking a Business Data Scientist to join their Data, Insights, and Analytics (DIA) team. This role is crucial in improving how customers are assigned to optimal sales channels through the development of causal ML models. The position requires expertise in building and implementing machine learning solutions, particularly focusing on causal ML models to automate and enhance customer assignments.

The role involves working within the Go-to-Market organization, where you'll be responsible for developing sophisticated data strategies and integrating numerous data signals to revolutionize client management. You'll need to combine strong analytical skills with business acumen to drive strategy through data-driven insights.

As a Business Data Scientist, you'll be working on building creative and novel Machine Learning solutions to drive strategy and help the organization make nuanced, smart decisions to ensure continued growth of the Ads Business. The position offers competitive compensation including a base salary range of $166,000-$244,000 plus bonus, equity, and comprehensive benefits.

The ideal candidate will have strong experience in statistical modeling, database querying, and programming skills in languages like Python, R, and SQL. You'll be working with cross-functional teams to develop and implement data solutions that directly impact business decisions. This is an excellent opportunity for someone who wants to combine technical expertise with business strategy at one of the world's leading technology companies.

The role offers the flexibility to work from multiple locations including Atlanta, New York, Los Angeles, San Francisco, Washington D.C., or Mountain View, making it accessible for candidates across different regions. Join Google's team to help shape the future of their global ads business through data-driven innovation and strategic thinking.