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Temporary Google Data Science Jobs in Chicago, IL

Google

Tax Data Systems and Process Analyst

Chicago, IL · On-site

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.

New

UNAVAILABLE

Senior Data Scientist

Chicago, IL · On-site

$89 - $127/hr

We're looking for rigorous analytic training and 3+ years professional experience in a data science ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Socket.dev

Senior Data Scientist

Chicago, IL · On-site

$89 - $127/hr

... science, computer science, engineering, marketing or social science methods. * Hands‑on ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Socket.dev

Staff Data Architect

Chicago, IL · On-site

$157 - $192/hr

Master's degree in Computer Science, Information Systems, Engineering, Data Science, or related field. * Google Professional Data Engineer Certification. * Google Professional Cloud Architect ...

PayPal, Inc.

Staff Data Scientist

Chicago, IL · On-site

Lead the development and implementation of advanced data science models. Develop cutting edge ... Hands on experience with tools like Big query, Google Cloud Platform, Jupyter notebook for to ...

PayPal

Staff Data Scientist

Chicago, IL

Lead the development and implementation of advanced data science models. Develop cutting edge ... Hands on experience with tools like Big query, Google Cloud Platform, Jupyter notebook for to ...

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$38.6K

$126.4K

$202.4K

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

As of Aug 23, 2026, the average yearly pay for temporary 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 a temporary Google data scientist?

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.

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 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 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 Temporary Google Data Science jobs in Chicago, IL?

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

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

Temporary Google Data Science jobs near you

Tax Data Systems and Process Analyst

Google

Chicago, IL • On-site

Full-time

Posted 2 days ago

New

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 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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