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Hourly Google Data Science Jobs in Chicago, IL (NOW HIRING)

At Google, data drives all our decision-making. As a Data Scientist specialized in machine learning engineering, you will work on solving technical challenges across multiple tax areas. As the Tax ...

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Senior Data Engineer, gTech Risk

Chicago, IL · On-site

$88K - $111K/yr

Master's degree in Data Science, Statistics, Computer Science, Economics, or equivalent practical ... About the job Google creates products and services that make the world a better place, and gTech ...

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Data Scientist

Chicago, IL · On-site

$79K - $158K/yr

The role will work with large, complex data sets and contribute to analytics and data science ... Google Cloud Platform - Exposure to healthcare analytics, Medicare, or quality-related datasets ...

The data science intern will help drive proactive and predictive insights that inform strategic ... Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min hourly wage - $35 ...

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The data science intern will help drive proactive and predictive insights that inform strategic ... Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min hourly wage - $35 ...

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The data science intern will help drive proactive and predictive insights that inform strategic ... Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min hourly wage - $35 ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min hourly wage - $35 ...

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Hourly Google Data Science information

See Chicago, IL salary details

$38.6K

$126.4K

$202.4K

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

As of Sep 4, 2026, the average yearly pay for hourly google data science in Chicago, IL is $126,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,100.00 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.

What are the most commonly searched types of Google Data Science jobs in Chicago, IL?

The most popular types of Google Data Science jobs in Chicago, IL are:

Tax Data Systems and Process Analyst

Google

Chicago, IL • On-site

Full-time

Posted 13 days ago


Key responsibilities

  • Understand, implement, and deploy machine learning pipelines in collaboration with data scientists, data engineers, and program managers.

  • Develop automation solutions using scripting languages like Python to streamline processes and manage APIs.

  • Lead the development and deployment of full-stack technology solutions, including web applications and internal APIs.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree in Finance or Tax with an emphasis in Data Science/Information Systems or equivalent practical experience.
  • 4 years of experience working with data, including SQL, data warehouses and dashboard applications.
  • Experience with programming languages: SQL, Python, and Java.

Preferred qualifications:
  • 5 years of industry experience in a data scientist, machine learning engineer, or software engineering role with a focus on machine learning applications.
  • Experience in design, implementation, and delivery of scalable build/test/release software development cycle.
  • Experience with data processing and management, including Relational Database Management Systems (RDBMS) such as Postgres or MySQL.
  • Experience with machine learning frameworks like TensorFlow and Scikit-Learn.
  • Effective written and verbal communication skills to translate technical solutions and methodologies to senior leadership.

About the job
At Google, data drives all our decision-making. As a Data Scientist specialized in machine learning engineering, you will work on solving technical challenges across multiple tax areas.
As the Tax Technology team grows, we are particularly excited about bringing on folks interested in advancing their data science & MLE skills and collaborating with others to accelerate the creation of end-to-end data solutions to enable our tax partners to make informed decisions, manage risks and opportunities.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $116000 - $166000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Work cross-functionally with data scientists, data engineers and program managers to understand, implement and deploy machine learning pipelines.
  • Develop and implement automation solutions using scripting languages (e.g. Python) to streamline processes and enhance efficiency, involving extensive API integration and management.
  • Lead the development and deployment of full-stack technology solutions, including web applications (e.g., Java backend, TypeScript frontend, gRPC) and internal APIs, ensuring seamless data flow and system interaction.
  • Improve machine learning scalability, usability and performance.
  • Explore the state-of-the-art technologies and apply them to deliver business benefits.

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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