Data Scientist

Google; New York (NY); Hybrid; USD 138,000 - 198,000; Full time

Job summary

Google Cloud seeks a Data Scientist to own end-to-end data workflows, extract and model data, and translate results into strategic recommendations. You will work with SQL, Python or R, and statistical methods to solve business problems at scale.

You will partner with product and engineering teams to define questions, design analyses, and present KPIs to drive data-driven decisions and improvements across our platforms.

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 SQL for data extraction and manipulation; data pipeline creation; Python or R for statistical analysis; applying statistical methods; and root cause analysis using quantitative methods.

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.

Skills

SQL for data extraction

Python or R for analysis

Data pipeline creation

Statistical methods

Descriptive statistics

Root cause analysis

Education

Bachelor’s degree in Statistics/CS/Math

2 years of related experience

Tools

SQL

Python

R

Job description

• 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.

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .