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Contract Google Data Science Jobs (NOW HIRING)

Bachelor's degree in Statistics, Applied Mathematics, Data Science, Business Analytics, Economics ... Learn more about benefits at Google . Position reports to the Google San Bruno, CA office & may ...

Experience with AWS, Azure, Google Cloud, or hybrid cloud environments. * Understanding of data ... Bachelors or Masters degree in Data Science, Computer Science, Data Engineering, Mathematics ...

Lead Data Scientist

$180K - $220K/yr

Requirements * 7+ years of experience in a data science or machine learning role * Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit ...

Master's degree in data science, computer science, statistics, engineering, business analytics, or ... Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, ...

Currently pursuing or recently completed a degree in Data Science, Statistics, Information ... Familiarity with data visualization tools like Tableau, Power BI, or Google Data Studio.

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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.

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:
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.
Program Manager III, Workforce Planning, Google Data Centers

Program Manager III, Workforce Planning, Google Data Centers

Google

Sunnyvale, CA • On-site

$142K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in program or project management.
  • Experience in process improvements within an operations environment (e.g., data center, infrastructure, manufacturing, supply chain, or technology-based business units).
  • Experience in creating or managing workforce development programs (labor planning or staffing).

Preferred qualifications:
  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience leading global programs and processes as part of central operations enablement or management teams.
  • Experience with vendor management and outsourced support models in relation to capacity planning.
  • Understanding of forecasting methodologies and their application in workforce management.
  • Excellent problem-solving and investigative skills, including modeling and presentation skills with proficiency in Sheets, SQL, and Workforce Management (WFM) software (e.g., Verint, Nice, Assembled).

About the job
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
Within the Data Centers Central Operations function, this role is part of the Deployment team and will be responsible for identifying and implementing process and tool improvements that support our mission of ensuring safe, timely, and cost effective builds. This role is critical to effectively scaling our data centers worldwide.
As a Data Center Speed of Light Program Manager, you are responsible for designing and implementing solutions to enable hyper-rapid deployment of Machine Learning racks and CDUs, focusing on optimizing staffing and labor strategies. Possible approaches may include use of strike teams, shared labor across metros/regions, additional shifts, surge labor contracts, etc. This role will require the Program Manager to remain closely aligned with rapidly changing business needs, adeptly pivoting strategies to optimally balance safety, deployment speed, cost, and reliability. You will create and implement a comprehensive set of options that provide solutions throughout the global fleet to support quickly increasing rack deployment volume and speed requirements.
The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $231000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Develop and manage a portfolio of labor strategies to support rapid rack and CDU deployment.
  • Ensure strategies support the various needs and constraints (local laws, regulations, etc.) of global regions.
  • Maintain close alignment with capacity planning to understand evolving needs across all sites and execute labor strategies to ensure Data Center Operations (DCOps) is able to meet delivery requirements.
  • Be primary DCOps representative for Speed of Light initiatives, working with cross-functional teams to ensure alignment of deployment timelines.
  • Contract with external parties to support business requirements as needed.

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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