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Contract Google Data Science Jobs (NOW HIRING)

Data Architect

Warner Robins, GA · On-site

$86.80 - $198/hr

Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or Google Data Engineering certifications * Certified Data Management Professional (CDMP) or The Open ...

Contract Compensation: $60-$90/hour Location: Remote Commitment: 35 hours/week Role ... Author reproducible reference analyses using Jupyter Notebooks or Google Colab . * Compare ...

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Contract Google Data Science information

What is the difference between Contract Google Data Science vs Contract Data Analyst?

AspectContract Google Data ScienceContract Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related field; experience with machine learning and programming languages like Python or RBachelor's in Statistics, Data Analysis, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentProject-based, often in tech or digital companies, with focus on predictive modeling and data-driven solutionsBusiness or marketing environments, focusing on reporting, data cleaning, and descriptive analysis
Employer & Industry UsageTech giants, consulting firms, and startups hiring for data science projectsRetail, finance, healthcare, and other industries requiring data reporting and insights

Contract Google Data Science roles typically involve advanced analytics, machine learning, and programming, whereas Contract Data Analyst positions focus on data reporting, cleaning, and visualization. Both roles require strong analytical skills but differ in technical complexity and project scope.

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Infographic showing various Contract Google Data Science job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Product Data Scientist, Consumer Payments

Google

Mountain View, CA • On-site

Full-time

Posted yesterday

New


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of work experience with a Master's degree.

Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • Experience working on statistical/casual inference techniques across experimentation and observational studies.
  • Experience working in the payments, online ecommerce, or marketplace industry.

About the job
As a Data Scientist, you will help shape Payments products, helping our leaders make decisions. You will coordinate across functions to dissect business, product, growth, acquisition, and operational metrics. You will proactively help leverage data, conduct analyses and make final business recommendations, collaborating with Product teams to help build future looking business models. In this role, you will manage multiple projects at a time, focusing on the details and finding creative ways to take on big picture issues.
You will bring an innovation to how analytics is done leveraging Gen AI tools for data exploration and workflow automation while maintaining high standards of experimental design. You will balance multiple high-stakes initiatives, diving into technical details while keeping a sharp eye on the broader goals of both the Identity and Risk organizations. Define and develop comprehensive measurement frameworks and driver trees to evaluate the health and effectiveness of our Risk and IDV solutions, focusing on both system precision and user experience. Provide analytical leadership for key programs, including the evolution of identity assurance and the scaling of sophisticated risk-mitigation infrastructure. Drive high-impact projects that transform product roadmaps, engineering decisions, tracking systems, and control processes across the identity and risk lifecycles. Collaborate with cross-product area partners to align on success metrics and ensure consistent protection strategies across Google's product portfolio. Your insights and leadership will directly inform executive decision-making, planning, and reporting as you help shape the future of Google Payments during a period of rapid growth.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Identify and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that directly influence leadership decisions (e.g., VPs and Directors).
  • Lead complex projects that combine investigative with organizational strategy, delivering clear and actionable insights that inform tangible business decisions.
  • Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
  • Elevate the role of data science within the organization by maintaining high standards of technical excellence, clear communication, and impactful stakeholder influence.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
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 .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.

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