Business Data Scientist, Marketing
corporatefare_ Google place New York, NY, USA; Mountain View, CA, USA; +2 more; +1 more
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; San Francisco, CA, USA .
Minimum qualifications:
Master's degree in a quantitative discipline such as Mathematics, Economics, 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 and doing statistical analysis.
Experience in causal inference, A/B testing, statistical modeling, or machine learning.
Experience in campaign brand or conversion lift measurement and using analytical insights to guide media planning or experience working in digital marketing: performance incrementality geo experiments (match market tests).
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.
Experience delivering meta analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
Understanding of Bayesian approaches and modeling frameworks.
Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
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.
Marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental.
In this role, you will drive key measurement and analytics programs that deliver a scaled impact for Google Marketing across media campaigns.
On a more day to day basis you will play a strategic and technical role in driving all things marketing analytics, with a strong focus on the incremental impact of marketing dollars.
You'll define problems, develop metrics, extract data and communicate results into recommendations that enable decision-making and drive business impact. You will own measurement and define milestones, provide direction for agencies/vendors, delegate, prioritize, plan, and direct a group of people to drive the project to completion.
As a Marketing Analyst you will be seen as an expert within our team on all things that relate to media incrementality, MMMs, MMTs and digital measurement methodologies such as channel level experiments and brand lift tools. You will maintain global consistency, while keeping regional focus.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
Provide support in media strategy, measurement and optimization that requires expertise in advanced analytics work, with special focus on applying data science to marketing and meta analysis approaches.
Drive advanced analytics work including experimentation, measurement and modeling.
Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
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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/) .
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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.
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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.
