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

AI Strategy Lead

Chicago, IL · On-site

$192 - $278/hr

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 ...

... with Google Cloud's Vertex Platform. * Experience with SQL, NoSQL, Python, Java, or data modeling techniques. Preferred qualifications: * Master's degree in Computer Science, related engineering ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

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

Data & AI Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Deep expertise with cloud data platforms, particularly Snowflake, Google BigQuery, or equivalent ... Bachelor's degree in Computer Science, Data Science, Information Systems, or related field.

Data Analyst

Chicago, IL · On-site

$75K - $95K/yr

Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics ... Exposure to cloud data platforms such as AWS, Azure, or Google Cloud is a plus. * Experience ...

Showing results 21-40

Google Data Science information

See Chicago, IL salary details

$25.1K

$119K

$205.8K

How much do google data science jobs pay per year?

As of Sep 4, 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:

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.

AI Strategy Lead

Google Inc.

Chicago, IL • On-site

$192 - $278/hr

Other

Posted 8 days ago


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

Google Chicago, IL, USA ; Sunnyvale, CA, USA

Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Sunnyvale, CA, USA.

  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  • 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • Experience architecting scalable enterprise AI solutions and generative AI pipelines (e.g., Large Language Models (LLMs), LangChain, Vertex AI, or autonomous agents.
Preferred qualifications:
  • 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • Extensive experience architecting scalable enterprise AI solutions and Generative AI pipelines including Google's AI technology stack.
  • Exceptional stakeholder management and communication skills, with a proven ability to navigate ambiguity, influence global leadership, and act as a bridge between core AI researchers, engineers, and non-technical business leaders.
About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

At Google, data drives all of our decision-making. As part of the Finance Data and Analytics (DnA) team, you will use data to inform business, process and product decisions across Google. In this role, you will have the opportunity to transform finance processes using AI. Along with your product team within DnA, you will partner with finance and engineering teams to drive process efficiency and transformation, primarily through agentic and AI solutions.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .

  • Build developer frameworks to accelerate and improve the Business Intelligence (BI) development lifecycle and solutions.
  • Help design and build highly reusable, complex skills, agents, and procedures at the AI Platform level that can be leveraged across multiple projects and by both technical developers and non-technical finance stakeholders.
  • Act as a strategic zeroth finance customer for Deepmind technology, partnering with core engineering teams on early-stage design, usability, and architecture to ensure new features are optimized for complex, real-world deployment scenarios.
  • Act as connective tissue between Finance AI developer, CorpEng, Deepmind and Cloud to define Finance technical requirements, aligning cross-organizational roadmaps, resolving ambiguity, and shipping outcomes that serve both internal and external customers.
  • Develop scalable, maintainable internal and external software-as-a-service (SaaS) products decoupled from internal dependencies.

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 .

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.

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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