Google is seeking a Senior Data Scientist to join their AI Data team, focusing on improving the quality of machine learning models used in production, particularly supporting the Gemini team and other Product Areas. This role is crucial in Google's mission as an AI-first company, working to enhance model quality through data optimization techniques.
The position involves working with complex data sets and applying advanced analytical methods to solve non-routine problems. You'll be responsible for conducting end-to-end analysis, from data gathering to presentation of insights, and building scalable analysis pipelines. The role requires collaboration with product and model teams to improve data quality and model performance.
As a Senior Data Scientist, you'll be at the forefront of AI development, particularly in the Gemini Era where data quality is paramount to model performance. You'll work on developing and implementing state-of-the-art data optimization techniques, making them accessible through integrated tools and platforms.
The position offers a competitive compensation package, including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. Google provides an inclusive work environment and is committed to equal opportunity employment.
This is an excellent opportunity for experienced data scientists who want to make a significant impact on AI development at one of the world's leading technology companies. You'll be working with cutting-edge technology, solving complex problems, and contributing to the advancement of AI applications across Google's product portfolio.
The ideal candidate will have at least 5 years of experience in analytics and data science, with strong programming skills in Python, R, and SQL. A Master's degree in a quantitative field is required, though candidates with a PhD may qualify with less experience. The role demands both technical expertise and the ability to communicate complex findings to stakeholders effectively.