Data Scientist

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

Job summary

Google LLC in New York is seeking a Data Scientist to join Google Cloud. You will manage end-to-end data lifecycles, build models, and provide insights to product teams.

The role requires 2 years of experience with SQL, data pipelines, Python or R, and applying statistical methods. Hybrid work arrangement and competitive compensation are offered.

Qualifications

• Bachelor's degree in Statistics, Computer Science, Mathematics, or a related field
• 2 years of experience in the job offered or a Data Scientist-related occupation
• Experience with SQL for data extraction and manipulation
• Experience creating data pipelines for data engineering
• Experience using Python or R for statistical analysis and problem-solving
• Applying statistical methods including t-tests and descriptive statistics
• Performing root cause analysis using quantitative methods

Responsibilities

• Manage the end-to-end data lifecycle by gathering, extracting, and compiling data from various sources using SQL, R, or Python while ensuring data quality and security
• Conduct in-depth analysis and design statistical models to interpret complex datasets and provide scalable insights
• Collaborate with stakeholders to define key business questions and develop an analytical roadmap
• Translate analytical findings into actionable insights to influence product decisions and strategy
• Present KPIs and insights to cross-functional leadership and advocate for data infrastructure improvements

Skills

SQL

Python

R

Statistical analysis

Data pipelines

Education

Bachelor's degree

Job description

corporate_fare Google place New York, NY, USA

• 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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.