Master's degree in Statistics, Computer Science, Mathematics, or related field.
5 years of experience in analytics for product or business problem-solving.
Proficient in data extraction, manipulation, and cleaning.
Expertise in Python or R for statistical analysis and algorithms.
Strong SQL skills for querying and manipulating large datasets.
Experience applying statistical models and methods.
Responsibilities
Collaborate with cross-functional teams to define and analyze critical business questions.
Gather and compile data from diverse sources, ensuring quality and integrity.
Design and evaluate statistical models to provide insights into user behavior.
Apply scientific methods to enhance Google's products and user experiences.
Communicate findings and model results to inform product development and strategy.
Benefits
Hybrid work schedule options available.
Access to comprehensive benefits package.
Opportunities for professional development and growth.
Participation in equity grants, subject to approval.
Full Job Description
Minimum qualifications:
Master's degree in Statistics, Computer Science, Mathematics or a related field and 5 years of experience in the job offered or in a Data Scientist-related occupation.
Position requires 5 years of experience in the following: Analytics for solving product or business problems; Data extraction, manipulation, and cleaning; Python or R for statistical analysis and algorithms; SQL for querying and manipulating large datasets; and Application of statistical models and methods.
About the job
The US base salary range for this full-time position is $174,000 - $253,000 15% bonus target equity benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google .
Position reports to the Google office & may allow for a hybrid schedule per Google policy.
Responsibilities
Collaborate with cross-functional teams to define critical business questions and translate them into tractable analytical frameworks
Gather, extract, and compile data from diverse sources using tools like SQL, R, or Python, ensuring data quality and integrity
Design, build, and evaluate statistical models to solve complex problems and provide data-driven insights into user behavior
Apply scientific and statistical methods to evaluate and enhance Google's products, impacting large-scale applications and user experiences
Communicate analytical findings and model results to multidisciplinary teams to inform product development and strategy; Utilize specialized knowledge of large-scale data infrastructure and storage solutions to develop and deploy models effectively.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
