Senior Business Data Scientist, Revenue Acceleration, Google Cloud
Description For Senior Business Data Scientist, Revenue Acceleration, Google Cloud
Google Cloud's Revenue Acceleration (RevX) team is seeking a Senior Business Data Scientist to drive growth through data-driven strategies. This role combines analytics, statistics, ML, and GenAI to solve complex business challenges. You'll be part of a cross-functional team working on business workflows, program improvements, and incentive systems.
The position requires expertise in processing and analyzing large datasets to deliver actionable insights. You'll collaborate closely with engineers, program managers, and stakeholders to implement ML solutions and measure program effectiveness. The role demands strong technical skills in Python, SQL, and machine learning, along with the ability to communicate complex technical concepts to non-technical audiences.
As part of Google Cloud, you'll contribute to a platform that serves customers in over 200 countries, helping organizations digitally transform their businesses. The role offers the opportunity to work with cutting-edge technology and drive significant business impact through data science.
Ideal candidates should have a Master's degree in a quantitative field and 4+ years of data science experience. You'll need strong programming skills, experience with the full technical development cycle, and the ability to drive projects from conception to launch. This position offers the chance to work on meaningful problems at scale while being part of Google's innovative culture.
The role is based in Mexico City and requires Mexican citizenship due to local labor laws. You'll be joining a team focused on boosting Google Cloud's growth through scalable, data-driven strategies, making this an excellent opportunity for someone who wants to combine technical expertise with business impact.
Responsibilities For Senior Business Data Scientist, Revenue Acceleration, Google Cloud
- Process large amounts of data from multiple sources and extract relevant insights
- Partner with non-technical stakeholders to understand their analytical needs, help frame the problem by asking the right questions, and prioritize requirements
- Produce actionable data-driven insights, perform statistical analyses, build Machine Learning solutions, and design experiments to measure the effectiveness of models, tools, and programs
- Research new ways of modeling data proactively to unlock actionable insights or improve business processes
Requirements For Senior Business Data Scientist, Revenue Acceleration, Google Cloud
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience
- 4 years of experience in a Data Science role using statistics and machine learning to solve product or business problems
- 4 years of experience using SQL and programming in Python, TensorFlow, or Pytorch
- Experience in cross functional collaboration, with program management, go-to-market, engineering, or product teams
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