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Senior Business Data Scientist, Trust and Safety Business Analytics

Google

Austin, TXJob$163–236K/yrSeen 2 days agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$163–236K/yr
Location
Austin, TX
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior Business Data Scientist will work on business challenges through data collection, analysis, and recommendations, then communicate findings to senior executives and help drive implementation. The role focuses on Trust and Safety measurement, scalable reporting, and AI-based systems, in partnership with Engineering and business stakeholders. Candidates may select a preferred working location from Austin, Atlanta, or Washington, D.C.

Skills & qualifications

RequiredNice to have

Skills

AnalyticsCodingPythonRSQLDatabase QueryingStatistical AnalysisDashboard CreationData VisualizationBusiness ReportingTrust and SafetyContent ModerationRisk AnalysisTechnical Project LeadershipCross-Functional InfluenceAgentic Statistical ModelingRoot Cause AnalysisLLM Multi-Agent EngineeringCommunicationStakeholder Management

Qualifications

Master's in Quantitative Discipline or Equivalent Experience4+ Years Analytics Experience6+ Years Analytics Experience6+ Years Data Analysis Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Senior Business Data Scientist, Trust and Safety Business Analytics

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corporate_fare Google place Austin, TX, USA; Atlanta, GA, USA; +2 more; +1 more

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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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: Austin, TX, USA; Atlanta, GA, USA; Washington D.C., DC, USA .

Minimum qualifications:

  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.

  • 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

  • Experience creating dashboards, data visualizations, or business reports.

Preferred qualifications:

  • 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

  • 6 years of experience driving business outcomes using data analysis, statistical analysis, data pipelines, and dashboard solutions.

  • Experience in Trust and Safety, content moderation, or risk analysis.

  • Experience leading complex technical projects, influencing cross-functional teams.

  • Experience with agentic statistical modeling, root cause analysis, and large language model (LLM) multi-agent system engineering.

  • Excellent communication and stakeholder management skills to translate complex data into clear, actionable insights.

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.

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

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

  • Develop an understanding of products, Trust and Safety (T&S) manual and automated processes, tools, and customer expectations to design scalable measurements that support reporting needs.

  • Build and scale AI-based systems in partnership with Engineering teams, accurately measure the efficiency gains.

  • Lead the statistical design, definition, and implementation of metrics such as uncaught badness rate, creating standardized, robust, and defensible measurements applicable across products and violation areas.

  • Collaborate with stakeholders to understand the domain, business goals, and data infrastructure context.

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 5,370 open Data Scientist jobs on Olive Jobs, counted October 31, 2026.

Pay
  • This posting$163–236K/yr
  • Texas median$131–218K/yr200 salary ranges
  • US median$135–215K/yr4,192 salary ranges

This range's midpoint, $200K, is 15% above the Texas median midpoint ($174K) — in the middle half of Data Scientist salary ranges in Texas.

Openings
Olive Jobs lists 296 open Data Scientist jobs in Texas and 5,370 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
This posting asks for at least 4 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,636 postings).
Education
2,813 of the 5,370 open Data Scientist jobs (52%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 31, 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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