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

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Tax Data Systems and Process Analyst

Chicago, IL · On-site

$116 - $166/hr

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 ...

New

Google

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 ...

New

CVS Health

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 ...

Google

AI Strategy Lead

Chicago, IL · On-site

Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or ... At Google, data drives all of our decision-making. As part of the Finance Data and Analytics (DnA ...

Photon

Analytics Architect | USA

Chicago, IL · On-site

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or ... Experience with GA4, Google Tag Manager & Optimizely. Soft Skills : Excellent problem-solving and ...

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How much do google data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for google data science in Chicago, IL is $118,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,955.00 and $149,344.00 per year, depending on experience, location, and employer.

What is a Google data science?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google data science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

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:

What are popular job titles related to Google Data Science jobs in Chicago, IL?

For Google Data Science jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Chicago, IL look for?

The top searched job categories for Google Data Science jobs in Chicago, IL are:

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,996 per year, or $57.2 per hour.

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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