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 highly cross-functional team working on designing business workflows, improving programs, and developing tools for business performance acceleration.
The position requires expertise in processing and analyzing large datasets, with a focus on delivering actionable insights. You'll collaborate closely with engineers, program managers, and stakeholders to implement ML solutions and measure program effectiveness. The ideal candidate should have a strong quantitative background with a Master's degree (PhD preferred) and significant experience in data science.
Key responsibilities include processing complex data, partnering with non-technical stakeholders, building ML solutions, and researching new modeling approaches. You'll need proficiency in Python, SQL, and ML frameworks, along with excellent communication skills to explain technical concepts to business users.
Google Cloud offers the opportunity to work with cutting-edge technology and contribute to solutions that help organizations across 200+ countries transform digitally. The company provides a collaborative environment focused on innovation and impact, with a strong commitment to diversity and inclusion.
This role is perfect for someone who combines technical expertise with business acumen, enjoys solving complex problems, and wants to make a significant impact on Google Cloud's growth trajectory. You'll be at the forefront of applying advanced analytics and ML to drive business decisions and optimize performance at scale.
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, and/or product teams
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