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Hourly Google Data Science Jobs (NOW HIRING)

Mars Technominds Inc

Data Science Architect

Mckinney, TX · On-site

$59 - $76/hr

Architect cloud-based data science solutions using AWS, Azure, or Google Cloud Platform (Google Cloud Platform). * Work with technologies such as Python, SQL, Spark, Databricks, MLflow, TensorFlow ...

Google

Data Scientist

San Bruno, CA · On-site

Master's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics ... Learn more about benefits at Google . Position reports to the Google San Bruno, CA office & may ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Experience with AWS, Azure, Google Cloud, or hybrid cloud environments. * Understanding of data ... Bachelor's or Master's degree in Data Science, Computer Science, Data Engineering, Mathematics ...

Google

Senior Data Scientist

San Francisco, CA · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research ... About the job In Google Search, we're reimagining what it means to search for information - any way ...

Facet

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 ...

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

As of Sep 11, 2026, the average yearly pay for hourly 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 is an hourly Google data science?

An Hourly Google Data Science job refers to a data science role at Google where an individual is compensated based on the number of hours worked, rather than receiving a fixed annual salary. These positions may be contract-based, freelance, or part of a temporary staffing arrangement. Hourly data scientists at Google typically analyze large datasets, build predictive models, and help inform business decisions using statistical and machine learning techniques. This role requires strong analytical skills, programming expertise, and familiarity with tools such as Python, R, and SQL. It can be a good option for those seeking flexible work arrangements or project-based employment.

What does an hourly Google data scientist do?

As an Hourly Google Data Science professional, you can expect to work on data cleaning, exploratory data analysis, and supporting ongoing projects with statistical insights. Your day may involve collaborating with product managers and engineers to define metrics, analyze user behavior, and present findings through clear visualizations. Because the role is hourly, tasks are often project-based with a strong emphasis on timely deliverables and adapting to shifting priorities. Collaboration tools and regular check-ins help ensure alignment with the team and project goals.

What skills and qualifications are needed to thrive as an hourly Google data scientist?

To thrive as an Hourly Google Data Scientist, you generally need strong analytical skills, a background in statistics or computer science, and experience with data modeling and analysis. Familiarity with programming languages like Python or R, as well as tools such as SQL, TensorFlow, and Google Cloud Platform, is typically required. Exceptional problem-solving abilities, communication skills, and a collaborative mindset help individuals stand out in this role. These skills are crucial for extracting actionable insights from data, effectively presenting findings, and driving impactful decisions within Google's fast-paced environment.

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Hourly Google Data Science jobs near you

Data Scientist - GEOINT Analysis

Colorado Springs, CO • On-site

Assertive Professionals
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Assertive Professionalsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

Assertive Professionals is seeking a Data Scientist supporting our National Security customer in Colorado Springs, CO.
This is a proposed position, we are offering a salary of $160,000 with a $2,000 sign-on bonus, or reimbursable relocation.
This is a great opportunity to work for an employee-centric, fast-growing small business. We offer an excellent benefits package, including PTO (accrual rates vary by contract and customer requirements), 401(k) Match at 5%, Profit Sharing, Company-paid Life Insurance, Dental, Vision, STD/LTD, and two options under a national medical plan with employee contribution.There is an additional $1,200 annual corporate bonus for time and attendance compliance!
Responsibilities Include:
This position is responsible for conducting data science functions on structured and unstructured data to streamline intelligence analysis and production. The data scientist will work to enrich analytical results and will develop and maintain Python code in support of mission requirements.
Required Experience and Qualifications:
  • TS/SCI w/ CI Poly
  • 7 years of relevent experience
  • Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
  • Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or JupyterLabs.
  • Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
  • Develop and use advanced software programs, algorithms, querytechniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
  • Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
  • Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
  • Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
  • Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
  • Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Maintain awareness of emerging analytics and big-data technologies.
  • Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
  • Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.

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