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Google

Data Scientist

Google New York, New York, United States · $138K–$198K/yr

Software Development · 10,001+ employees

9 h ago
data-scientist Mid (2-5 yrs) Full-time United States
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About the role

Manage the end-to-end data lifecycle by extracting and compiling data while ensuring quality and security. Collaborate with stakeholders to design statistical models and translate analytical findings into actionable business strategies.

What they look for

SQL Python R Statistical analysis Data engineering Data pipeline creation T-tests Descriptive statistics Root cause analysis Quantitative methods Data lifecycle management Statistical modeling Data quality Data security Analytical roadmap KPI reporting

Requirements

Requires a bachelor's degree in Statistics, Computer Science, Mathematics, or a related field. Candidates must have at least 2 years of experience in SQL, Python or R, and statistical analysis methods.

Benefits

Bonus Equity Health Insurance

Full 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:

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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.

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