ZipRecruiter

Log In

1

Contract Google Data Science Jobs (NOW HIRING)

Mindlance

Data Scientist

Holtsville, NY · On-site

... contract. - Develop and present findings, model performance metrics, and project outcomes to ... Google Cloud, Azure). - Expertlevel proficiency in Python and its core data science libraries (e.g ...

Google

Global Data Center Contract Manager

Sunnyvale, CA · On-site

$196K/yr

Google's hybrid workplace includes remote and in-office roles. By applying to this position you ... As the Global Data Center Contract Manager, you will leverage your wide industry knowledge of ...

AECOM

Reporting Data Scientist

Sacramento, CA · On-site

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

AECOM

Reporting Data Scientist

Sacramento, CA

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

KPMG

Lead Specialist, Federal Data Science

Mclean, VA · On-site

Build / manage production-ready data science product lifecycles, continuous delivery and automation ... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ...

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ... Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation ...

Google

Senior Research Data Scientist

Mountain View, CA · On-site

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research ... About the job Google is one of the pioneers of modern digital advertising, and the enabler of a ...

next page

Showing results 1-20

All JobsContract Google Data Science Jobs

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.

What are some common challenges faced by contract data scientists working with Google technologies, and how can they be addressed?

Contract Google Data Science professionals often face challenges such as rapidly adapting to new project domains, integrating with existing teams, and mastering proprietary Google tools and workflows. To address these, it's important to proactively communicate with team members, leverage Google's extensive documentation and training resources, and stay organized with clear project milestones. Building strong collaborations and seeking feedback regularly can also help contract data scientists quickly align with the team's goals and deliver impactful results.

What are the key skills and qualifications needed to thrive as a Contract Google Data Scientist, and why are they important?

To thrive as a Contract Google Data Scientist, you need strong expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with Python, SQL, data visualization tools (like Tableau), and Google Cloud Platform is essential, and certifications in data science or cloud technologies can be advantageous. Strong problem-solving skills, effective communication, and adaptability help you translate complex data insights into actionable business strategies. These skills and qualities ensure you can deliver high-impact, data-driven solutions in a dynamic, project-based environment.

What are Contract Google Data Science jobs?

Contract Google Data Science jobs refer to temporary positions where professionals are hired on a contractual basis to work on data science projects at Google. These roles typically involve analyzing large datasets, building predictive models, and generating insights to support decision-making within Google’s business units. Contractors may work on short- or long-term projects, often collaborating with full-time employees. The nature of contract positions means that benefits and job security may differ from permanent roles, but they offer valuable experience and exposure to cutting-edge technologies.
More about Contract Google Data Science jobs
What cities are hiring for Contract Google Data Science jobs? Cities with the most Contract Google Data Science job openings:
What are the most commonly searched types of Google Data Science jobs? The most popular types of Google Data Science jobs are:
What states have the most Contract Google Data Science jobs? States with the most job openings for Contract Google Data Science jobs include:
What job categories do people searching Contract Google Data Science jobs look for? The top searched job categories for Contract Google Data Science jobs are:
Contract Google Data Science jobs near you
Infographic showing various Contract Google Data Science job openings in the United States as of July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution.
Staff Data Engineer, Search, Data Science

Staff Data Engineer, Search, Data Science

Google

Mountain View, CA • On-site

Full-time

Re-posted 13 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies

Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
Minimum qualifications:
  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 8 years of experience in software development, including large-scale data systems or information retrieval.
  • Experience with programming in C , Java, Python, or Go.
  • Experience designing and maintaining data pipelines.

Preferred qualifications:
  • Understanding of the Search product landscape and its unique data issues (e.g., latency, richness, quality).
  • Track record of leading organization-wide technical debt reduction or metrics convergence projects.
  • Ability to navigate a matrixed organization and drive alignment across cross-functional teams.

About the job
Our goal is to drive Search product excellence and growth with data insights. We perform analysis to help the Search organization make big investment decisions and conduct research on topline and operational metrics to drive data-driven choices.
As a Staff Software Engineer focusing on Data Engineering, you will build the scalable data foundations that empower this mission. You will work end-to-end to help build products that users love, enabling headroom analysis, experiment analysis, and technical trade-offs between competing metrics (e.g., richness of experience vs. search latency) through machine-consumable data systems
In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Own the data engineering strategy for high-stakes Search initiatives, designing multi-stage data products that process data for billions of users.
  • Architect organization-wide initiatives for metrics convergence to establish single-source-of-truth foundations for operational and topline Search metrics.
  • Integrate core data systems with Google's backend infrastructure, ensuring technical designs are optimized for both massive scale and low-latency consumption.
  • Collaborate with Product Data Scientists and Engineering leads to identify growth and quality opportunities, bridging the gap between raw data and actionable insights.
  • Act as a primary technical advisor to Search leadership, transforming ambiguous product goals into solid architectural decisions.

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.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply