
Business and Marketing Data Scientist II
Kirkland, WAJob$138–197K/yrSeen 3 days agoSeen in employer's feed 3 days ago
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At a glance
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Job overview
The Business and Marketing Data Scientist II will support Google’s Business Intelligence Group in making Global Affairs more data-driven and predictive. The role applies analytics, machine learning, and generative AI to cross-organizational initiatives and business operations, including legal, regulatory, and compliance challenges. The scientist will analyze data, develop recommendations, communicate with senior executives, and help implement solutions.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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:
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Health, dental, vision, life, disability insurance
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Retirement Benefits: 401(k) with company match
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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
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Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
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Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
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Baby Bonding Leave: 18 weeks
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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:
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Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
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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.
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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
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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.
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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.
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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.
How this job compares
Set against the 4,936 open Data Scientist jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This posting$138–197K/yr
- Washington median$143–216K/yr211 salary ranges
- US median$133–215K/yr3,929 salary ranges
This range's midpoint, $168K, is 9% below the Washington median midpoint ($183K) — in the middle half of Data Scientist salary ranges in Washington.
- Openings
- Olive Jobs lists 228 open Data Scientist jobs in Washington and 4,936 across the US. 5% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 3 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,243 postings).
- Education
- 2,822 of the 4,936 open Data Scientist jobs (57%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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