Data Scientist

About Google A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

Google

searchadsmobileandroidonline videoappsmachine learningvirtual realitycloudhardware

See all employees

G

goo.gle/3DLEokh

10,001+ employees

Software Development

Mountain View, CA

Public Company

42.5M LinkedIn followers

Raised $26.1M

• 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.

• 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.

• Position reports to the Google office & may allow for a hybrid schedule as per
• Google policy.