Bachelor's degree in Statistics, Computer Science, Mathematics, or related field.
2 years of experience in a Data Scientist-related role.
Proficient in SQL for data extraction and manipulation.
Experience in data pipeline creation and engineering.
Skilled in Python or R for statistical analysis and problem-solving.
Familiar with statistical methods like t-tests and descriptive statistics.
Experience in performing root cause analysis using quantitative methods.
Responsibilities
Manage the end-to-end data lifecycle, ensuring data quality and security.
Conduct in-depth analysis and design statistical models for complex datasets.
Collaborate with stakeholders to define key business questions and develop analytical roadmaps.
Translate analytical findings into actionable insights for product development.
Present key performance indicators and analytical results to leadership teams.
Benefits
Hybrid work schedule options as per company policy.
Access to comprehensive benefits package including health and wellness programs.
Opportunities for professional development and training.
Participation in equity programs and performance bonuses.
Full Job Description
Minimum qualifications:
Bachelor's degree in Statistics, Computer Science, Mathematics, or a related field and 2 years of experience in the job offered or in a Data Scientist-related occupation.
Position requires 2 years of experience in the following: SQL for data extraction and manipulation; Data pipeline creation for data engineering; Python or R for statistical analysis and problem-solving; Applying statistical methods including t-tests and descriptive statistics; and Performing root cause analysis using quantitative methods.
About the job
The US base salary range for this full-time position is $138,000 - $198,000 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 as per Google policy.
Responsibilities
Manage the end-to-end data lifecycle by gathering, extracting, and compiling data from various sources using tools like SQL, R, or Python while ensuring data quality and security.
Conduct in-depth analysis and design statistical models to interpret complex datasets, formulate conclusions, and iteratively build prototypes that provide insights at scale.
Collaborate with stakeholders to define and refine key business questions, developing an analytical roadmap and methodology to address product or business challenges effectively.
Translate complex analytical findings into actionable insights and strategic recommendations to influence product development decisions and long-term business strategy.
Present key performance indicators and analytical results to support business reviews and communicate opportunities to cross-functional leadership teams. Develop comprehensive knowledge of internal data structures and advocate for infrastructure improvements to enhance data quality and processing capabilities for future analyses.
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.
