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Contract 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 ...

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Contract Google Data Science information

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 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 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.

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.

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 May 2026, with employment types broken down into 25% Full Time, 48% Part Time, 1% Temporary, and 26% Contract. Highlights an 89% Physical, 7% Hybrid, and 4% Remote job distribution.

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.

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