USD 138,000–197,000/yearAnnual period assumed — pay source
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Develop data-driven solutions focused on large language models and AI for Global Affairs problems
Work with cross-functional teams on LLM text analysis and knowledge extraction
Translate business needs into actionable analyses and evaluation metrics
Stay current on data science and business analytics trends, with guidance
From the employer’s posting
Support the development and implementation of data-driven solutions, with a focus on large language models (LLMs) and AI
Work with cross-functional teams to address AI/ML challenges and opportunities, specifically leveraging LLMs for text analysis and knowledge extraction
translating business needs into actionable analyses and evaluation metrics
Stay current on emerging trends and best practices in data science and business analytics, with guidance
Education & alternatives
**Minimum qualifications:**
+ Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
+ 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
+ Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
+ 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
+ Experience developing generative AI solutions at a law firm, in-house legal/compliance department, or within government.
**Preferred qualifications:**
+ 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
**About the job**
Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
Status in our records
Live
First seen by us
Oct 31, 20265 days ago
Recorded sightings
5
Last seen by us
Nov 5, 2026
Employer says posted
Oct 24, 2026
Oct 31, 2026today
We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Pay
In line with similar jobs
$118K$193K
$138K–$197K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Time since we first saw it
Day 5
755
Early. Similar jobs usually come down between day 7 and day 55.
At Google, jobs usually come down by about day 3.
From 10,129 similar postings that came down, and 486 of Google’s. Coming down is not always a hire.
Google is hiring
287 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
R
SQL
Where the posting names them
+ Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
+ 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
+ Experience developing generative AI solutions at a law firm, in-house legal/compliance department, or within government.
**Preferred qualifications:**
+ 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
**About the job**
Yes. We’ve followed 3 other Business and Marketing Data Scientist II jobs there since October 2026. All 3 are still up.
AustinStill up after 5 days, first seen Oct 31
SeattleStill up after 5 days, first seen Oct 31
KirklandStill up after 5 days, first seen Oct 31
This jobUp 5 days so far, first seen Oct 31
Oct 31Today
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Business and Marketing Data Scientist II
Share Business and Marketing Data Scientist II
_corporate_fare_ Google _place_ Chicago, IL, USA; Austin, TX, USA; +3 more; +2 more
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Share Business and Marketing Data Scientist II
_info_outline_
XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
+ Health, dental, vision, life, disability insurance
+ Retirement Benefits: 401(k) with company match
+ Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
+ Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
+ Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
+ Baby Bonding Leave: 18 weeks
+ Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Chicago, IL, USA; Austin, TX, USA; Kirkland, WA, USA; Seattle, WA, USA** .
**Minimum qualifications:**
+ Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
+ 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
+ Experience developing generative AI solutions at a law firm, in-house legal/compliance department, or within government.
**Preferred qualifications:**
+ 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
**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.
As a Business Data Scientist, you will help the Business Intelligence Group (BIG) enable a more data-driven/predictive Global Affairs organization. Generative Artificial Intelligence (GenAI) is poised to make a significant impact in Global Affairs. With the power of ML/AI and the knowledge of Google tools and technologies, your goal is to leverage the GA data ecosystem to drive decisions for cross-GA strategic initiatives and boost business operations. In this fast-paced and innovative environment your technical expertise will have a direct impact on shaping our AI strategy.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
**Responsibilities**
+ Support the development and implementation of data-driven solutions, with a focus on large language models (LLMs) and AI, to address business problems in Global Affairs, including providing trusted advice to policymakers, building an industry-leading regulatory and compliance system, and protecting our ability to provide high-quality products.
+ Work with cross-functional teams to address AI/ML challenges and opportunities, specifically leveraging LLMs for text analysis and knowledge extraction, and translating business needs into actionable analyses and evaluation metrics.
+ Stay current on emerging trends and best practices in data science and business analytics, with guidance.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Location & working pattern
Chicago, IL
Working pattern and location restrictions need checking in the full posting.
Work authorization
This passage needs a closer read in the full description.