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Temporary Google Data Science Jobs in Chicago, IL

Uber Freight

Staff Data Architect

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

  • Medical

  • PTO

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

  • Medical

  • PTO

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 ...

Ritchie Bros.

Staff Data Scientist

Westchester, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead end-to-end data science projects, from problem framing and data exploration through model ... Google Cloud Platform) * Proven ability to translate ambiguous business problems into technical ...

PayPal

Sr Data Scientist

Chicago, IL · On-site

  • Medical

  • PTO

Lead the development and implementation of advanced data science models. Extract, analyze, and ... Google BigQuery. (1 year) (5) Experience in data visualizations and reporting similar to Tableau ...

PayPal, Inc.

Sr Data Scientist

Chicago, IL · On-site

  • Medical

  • PTO

Lead the development and implementation of advanced data science models. Extract, analyze, and ... Google BigQuery. (1 year) (5) Experience in data visualizations and reporting similar to Tableau ...

PayPal

Sr Data Scientist

Chicago, IL · On-site

$142 - $222/hr

  • Medical

  • PTO

Lead the development and implementation of advanced data science models. Extract, analyze, and ... AWS or Google BigQuery. (1 year)(5) Experience in data visualizations and reporting similar to ...

Ritchie Bros.

Senior Staff Data Scientist

Westchester, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role The Senior Staff Engineer - Data Science will serve as a technical leader in ... Google Cloud Platform) * Demonstrated ability to set technical direction, influence cross ...

DevSelect

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

... science • Data visualization • Understanding of the healthcare industry • Azure, Google, AWS or other cloud-platform experience • SDLC Tools & Processes: JIRA, Docker, Git-flow, Puppet, or ...

Eliassen Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... AWS, Google Cloud Platform, Azure, and approved ecosystems. * Collaborate with Product, Data Science, Security, Privacy, and Platform Engineering to deliver privacy-preserving attribution ...

Net Conversion LLC

Marketing Science & AI Manager

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description About Net Conversion: We're a data-obsessed marketing and analytics agency in downtown ... Hands-on experience or deep familiarity with Google Cloud Platform (GCP) or another cloud platform

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Temporary Google Data Science information

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$126.4K

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

As of Aug 18, 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

Staff Data Architect

Uber Freight

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago

Uber Freight rating

7.3

Company rating: 7.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

170th of 365 rated logistics

Job description

Schedule: Full Time
Job Type: Hybrid
Salary Type: Salary
Req #: 3143
About the Role
We are seeking a highly experienced Staff Data Products Engineer & Data Architect to lead the design, development, governance, and evolution of enterprise-scale data products and modern data architecture platforms. This role combines deep expertise in Data Product Engineering, Data Architecture, Google Cloud Platform (GCP), and modern data management principles to enable data-driven decision making and AI-powered business capabilities.
As a senior technical leader, working out of our Frisco office you will define architectural standards, establish data product strategies, drive cloud modernization initiatives, and mentor engineering teams in building scalable, secure, reliable, and reusable data assets. You will collaborate across business, engineering, analytics, AI/ML, and platform teams to deliver high-value data products that accelerate innovation and business growth. You will lead critical evaluations of new technologies and drive the architectural decisions that bridge the gap between data and complex business needs.
What the candidate will do
Data Product Strategy & Engineering
  • Lead the design, development, and lifecycle management of enterprise data products using product-oriented operating models.
  • Define and implement reusable, scalable, and governed data products across business domains.
  • Establish standards for data product discoverability, ownership, interoperability, and consumption.
  • Partner with business stakeholders to translate business requirements into scalable data solutions.
  • Drive adoption of Data Mesh, Data Fabric, and domain-driven data ownership frameworks.
  • Define KPIs and success metrics for data product adoption, quality, reliability, and business value realization.
Enterprise Data Architecture
  • Develop and maintain enterprise data architecture roadmaps aligned with strategic business objectives.
  • Design modern cloud-native architectures supporting batch, streaming, real-time, and AI-driven workloads.
  • Create architecture standards, reference models, patterns, and best practices.
  • Establish enterprise data modeling strategies including conceptual, logical, and physical models.
  • Lead architecture reviews and recommend improvements in scalability, performance, security, and cost optimization.
  • Ensure architecture alignment across data engineering, analytics, AI, and application teams.
Cloud Data Platform Leadership
  • Architect and optimize enterprise data platforms in Google Cloud
  • Establish cloud-native architecture patterns focused on scalability, resiliency, security, and automation.
  • Lead cloud modernization and migration initiatives from legacy data platforms.
AI & Advanced Analytics Enablement
  • Design AI-ready data architectures supporting Machine Learning, Generative AI, and advanced analytics initiatives.
  • Partner with Data Science, AI Engineering, and Platform teams to support model development and operationalization.
  • Build architectures supporting large-scale semantic, structured, and unstructured data processing.
  • Evaluate emerging AI technologies and provide strategic recommendations.
Data Governance & Quality
  • Establish enterprise-level data governance, metadata, lineage, quality, and compliance standards.
  • Define data contracts, data product SLAs, and quality frameworks.
  • Drive implementation of data observability, monitoring, and reliability practices.
  • Ensure compliance with regulatory and organizational security requirements.
  • Collaborate with security and compliance teams to implement data protection strategies.
Technical Leadership
  • Act as a trusted advisor to executive leadership and senior stakeholders.
  • Provide technical leadership across multiple engineering teams.
  • Lead architecture review boards and technical design sessions.
  • Mentor senior engineers, architects, and data product teams.
  • Create engineering standards, implementation frameworks, and operational best practices.
  • Drive innovation through proof-of-concepts and technology evaluations.

Basic Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field.
  • 10+ years of experience in Data Engineering, Data Architecture, or related disciplines.
  • 5+ years designing and implementing cloud-native enterprise data platforms.
  • Proven experience building large-scale Data Products and Data-as-a-Service capabilities.
  • Experience leading enterprise architecture initiatives across multiple business domains.

Preferred Qualifications
  • Master's degree in Computer Science, Information Systems, Engineering, Data Science, or related field.
  • Google Professional Data Engineer Certification.
  • Google Professional Cloud Architect Certification.
  • Experience with Generative AI implementation at enterprise scale.
  • Experience designing multi-cloud and hybrid-cloud architectures.
  • Hands-on experience with Data Mesh and modern data product operating models.
  • Experience implementing enterprise metadata and governance platforms.
  • Experience supporting AI, machine learning, and advanced analytics initiatives in large organizations.

Benefits & Compensation for U.S. Employees
Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.
About Uber Freight
Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real-time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.
Candidate Privacy Notice
Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.
EEOC
Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
For Chicago-based roles: The salary range for this role is $157,000.00 - $192,000.00 per year

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