Senior Business Data Scientist Manager, Google Cloud Marketing
corporatefare_ Google place Kirkland, WA, USA; New York, NY, USA; +3 more; +2 more
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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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: Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA; Sunnyvale, CA, USA .
Minimum qualifications:
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
Experience managing and developing teams of data scientists.
Experience building and deploying machine learning models for business applications (e.g., lead scoring, attribution, forecasting).
Preferred qualifications:
11 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 as a people manager within a technical leadership role.
Experience with cloud computing platforms (e.g., Google Cloud Platform, BigQuery, Vertex AI) and handling large-scale datasets.
Deep understanding of the B2B enterprise SaaS marketing and sales cycle, demand generation funnels, and marketing technology stacks (e.g., Salesforce, Marketo).
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.
The Google Cloud Marketing Data Science and Analytics (DSA) team is responsible for end-to-end development of data assets, data science and ML capabilities, and analytics and insights for Google Cloud Marketing. DSA is the strategic core of our marketing organization. Our mission is to empower Google Cloud's growth by transforming raw data into actionable intelligence. We leverage cutting-edge data science, machine learning, and analytics to decode and predict customer behavior, measure the impact of marketing motions and programs, and optimize every facet of our marketing strategy to accelerate Google Cloud's growth.
As the Head of Data Science for Google Cloud Marketing, you will define and lead the strategic roadmap for data science and machine learning to accelerate our B2B go-to-market (GTM) motions. You will lead a team of data scientists to build the intelligence engine that powers how we identify, engage, and convert customers globally.
The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .
Responsibilities
Define and execute the long-term vision for data science within Cloud Marketing, building scalable ML/AI capabilities that optimize the B2B customer journey.
Oversee the development and deployment of robust AI-native data science capabilities and predictive models to accelerate marketing motions and personalize marketing outreach at scale. Deploy intelligent agents to automate experiences and drive engagement across various channels.
Lead the creation of sophisticated attribution models and incrementality experiments to quantify marketing impact, optimize media spend, and unlock insights into funnel performance.
Partner with GTM, sales operations, and engineering leadership to integrate data science capabilities into operational workflows (e.g., CRM systems), ensuring high adoption and alignment with business goals.
Build, mentor, and lead a high-performing team of data scientists, fostering a culture of technical excellence, innovation, and thorough statistical methodology.
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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.
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/OFCCPEEOPost.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.
