Business Data Scientist, Revenue Acceleration, Google Cloud

Minimum qualifications:

• Master's degree in Engineering, Statistics, a relevant scientific field, or equivalent practical experience.
• 3 years of experience in a Data Science role using data analytics, statistics, mathematics, computer science, or machine learning.
• Experience in any one of the following areas: causal inference, A/B testing, statistical modeling, or Machine Learning.
• Experience with SQL and Python.

Preferred qualifications:

• 2 years of experience in a Data Science role supporting Sales, Marketing, or Customer Support.
• Experience in NLP, LLMs, and/or Generative AI.
• Experience with machine learning and statistical modeling libraries (e.g., TensorFlow, Scikit-learn, XGBoost, Keras, Pandas etc.).
• Ability to draw conclusions from data, connect with cross-functional stakeholders, and recommend actions.
• Ability to break down technical concepts into simple terms and present to diverse, technical, and non-technical audiences.

About the job

The Revenue Acceleration team is focused on boosting the growth of Google Cloud with scalable and data driven strategies. The team is highly cross-functional, combining Strategy and Operations and Data Science. The team serves many functions, including designing business workflows, improving business programs, and developing tools and incentive systems to accelerate business performance.

As a Business Data Scientist on the Revenue Acceleration team, you will be solving difficult and non-routine problems by applying problem solving methods to achieve results. You will process, analyze, and interpret large and complex data sets, with emphasis in delivering data-driven insights and solutions. You will also collaborate closely with Engineers, Program Managers, and other stakeholders to implement model-based solutions, measure the effectiveness of programs, and drive customer growth and success.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $146,000-$220,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Process large amounts of data from multiple sources and extract relevant insights.
• Research new ways of modeling data for actionable insights and process improvement.
• Perform statistical analyses and build Machine Learning solutions to support Google Cloud business needs.
• Design experiments and use causal inference to measure effectiveness of models, tools, and programs.
• Collaborate on complex and technical work with effective communication to develop quantitative strategies.