ZipRecruiter

Log In

1

Temporary Google Data Science Jobs (NOW HIRING)

Prophecy Technologies

Sr. Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

... Science * Offshore team coordination Must-Have Qualifications: * Extensive experience as a Senior Data Engineer with Google Data Engineering expertise * Strong understanding of ETL processes, data ...

Deloitte

Google Data Engineering Consultant

Rosslyn, VA

$130.50K - $156.70K/yr

This role works with engineers, data scientists, and business stakeholders to translate ... Support the development, testing, and deployment of applications and data pipelines on Google Cloud ...

LG Electronics

Network Data Analyst

Huntsville, AL · On-site

Required : • Bachelor's degree in Business, Economics, Data Science, or a related field (Data ... Google Data Studio). • Strong analytical and problem-solving skills with the ability to ...

YouVersion

Senior Data Scientist

Edmond, OK · On-site

... in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis • Proficiency in Python or R for data analysis ...

Google

Data Center Analytics Engineer

Austin, TX · On-site

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. * 5 years ... We empower Google customers with breakthrough capabilities and insights by delivering AI and ...

Life.Church

Senior Data Scientist

Edmond, OK

A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis. * Proficiency in Python or R for ...

Life.Church

Senior Data Scientist

Edmond, OK · On-site

A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis. * Proficiency in Python or R for ...

next page

Showing results 1-20

People also search for

All JobsTemporary Google Data Science Jobs

Temporary Google Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do temporary google data science jobs pay per year?

As of May 31, 2026, the average yearly pay for temporary google data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Temporary Google Data Scientist, you need strong analytical skills, expertise in statistics, and a solid foundation in programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks, big data tools like SQL and TensorFlow, and experience with data visualization platforms such as Tableau are highly valuable. Strong problem-solving abilities, adaptability, and effective communication skills are crucial for collaborating on fast-paced projects and presenting findings to diverse stakeholders. These competencies enable data-driven decision-making and ensure impactful contributions within a dynamic, innovative environment.

What are some typical challenges faced by data scientists in temporary roles at Google?

Temporary data scientists at Google often face the challenge of quickly onboarding to new projects and adapting to the company's fast-paced environment. Since assignments are time-bound, there’s a need to rapidly understand existing data infrastructure, collaborate with diverse teams, and deliver actionable insights within tight deadlines. Additionally, building rapport with permanent staff and accessing proprietary data or tools can require extra initiative. However, these challenges provide valuable exposure to Google’s cutting-edge practices and can significantly enhance your professional network and skill set.

What are temporary Google data science jobs?

Temporary Google data science jobs are short-term positions at Google where professionals work on data-driven projects, such as analyzing large datasets, building predictive models, and providing actionable insights. These roles often last from a few months up to a year and can be part of contract work, internships, or project-based assignments. Temporary data scientists at Google collaborate with teams across the company to solve complex problems, improve products, and support decision-making. These positions usually require strong analytical skills, experience with programming languages like Python or R, and familiarity with machine learning techniques.
More about Temporary Google Data Science jobs
What cities are hiring for Temporary Google Data Science jobs? Cities with the most Temporary 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 Temporary Google Data Science jobs? States with the most job openings for Temporary Google Data Science jobs include:
What job categories do people searching Temporary Google Data Science jobs look for? The top searched job categories for Temporary Google Data Science jobs are:
Temporary Google Data Science jobs near you
Infographic showing various Temporary Google Data Science job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 36% Physical, 2% Hybrid, and 62% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Global Solutions Manager, Data, Google Cloud

Google

Austin, TX • On-site

Full-time

Posted 3 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

30th of 184 rated software companies

Job description

Job Summary:
Google is a leading technology company that offers cloud solutions to help businesses transform and innovate. As a Global Solutions Manager for Google Cloud, you will drive strategies and execution of solutions to enhance customer outcomes while collaborating with various teams to deliver impactful initiatives.
Responsibilities:
• Analyze customer needs and market opportunity to select and prioritize Google Cloud solutions across our Data pillar.
• Define and validate solutions with an end-to-end focus on technical and commercial readiness to accelerate customer adoption.
• Manage cross-functional collaboration to drive asset development.
• Enable low-friction customer consumption and deliver strong Google field enablement.
• Own and manage the ongoing lifecycle of each solution, including promoting awareness (internal and external, including partners) and evaluating success via measurement of business indicators (e.g. revenue, customer acquisition).
Qualifications:
Required:
• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 7 years of experience in a customer-facing role in the enterprise technology space.
• Experience with the AI/ML technologies as applied to data: MCP, Toolbox, ML lifecycle concepts, including model training, deployment, MLOps, or responsible AI practices.
• Experience working with cloud-based data infrastructure.
• Experience with the developer side of building applications and databases.
Preferred:
• Master's degree in Engineering, Computer Science, or related technical fields.
• Experience building AI/ML and data platform products for cloud customers.
• Experience shipping enterprise products to a developer or data science audience.
• Experience working with Google data platforms, including data analytics and databases.
• Experience with generative AI models and the open source community.
• Ability to translate complex technical topics into business-relevant narratives and work cross-functionally with sales, product, and engineering teams.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply