Senior Data Scientist, Business and Marketing, Ads Marketing Analytics (English, Spanish)

Google Inc.; Ciudad de México; Presencial; USD 60,000 - 80,000; Jornada completa

Descripción de la vacante

A global technology leader is seeking a Senior Data Scientist in Mexico City to drive analytics and marketing science for advertising solutions. The role involves managing complex data, designing experiments, and providing strategic recommendations to stakeholders. Ideal candidates will have a Master's degree in a quantitative field, 3 years of relevant experience, and proficiency in English and Spanish. Join a team dedicated to solving challenging business problems through data-driven insights.

Formación

• 3 years of experience using analytics to solve product or business problems.
• Ability to communicate in English and Spanish fluently.
• Experience in statistical data analysis and controlled experiment design.

Responsabilidades

• Manage large, complex data sets and conduct end-to-end analysis.
• Design and analyze controlled experiments to assess impact.
• Collaborate cross-functionally to provide business recommendations.

Conocimientos

Statistical analysis

Machine learning

Data analysis

Python

SQL

Communication in English and Spanish

Mentoring

Educación

Master's degree in a quantitative discipline

Descripción del empleo

Senior Data Scientist, Business and Marketing, Ads Marketing Analytics (English, Spanish)

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Mid

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

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info_outline

info_outline X Please submit your resume in English - we can only consider applications submitted in this language. Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

• 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.
• Ability to communicate in English and Spanish fluently to interact with local stakeholders.

Preferred qualifications:

• 6 years of experience with statistical data analysis such as generalized linear models, multivariate analysis, clustering/segmentation and sampling methods.
• Experience in controlled experiment design and causal inference methods.
• Ability to mentor others while learning new techniques.
• Ability to think logically and solve problems effectively.

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 Data Scientist on the Ads Marketing Data Science team, you will advance marketing science for Google's advertising solutions by driving analytics, experimentation and machine learning modeling. You will leverage data to define key metrics, generate insights and inform strategic marketing decisions across acquisition, onboarding and growth. You will design analysis pipelines, build measurement tools and create frameworks to support global initiatives and business growth, while communicating data-driven insights to marketing partners and leadership to guide decisions.

Responsibilities

• Manage large, complex data sets and solve analysis problems by applying advanced methods like statistical and machine learning models and conducting end-to-end analysis from problem formulation to deliverables and presentations.
• Design and analyze controlled experiments or causal inference studies to assess the impact of Ads marketing programs, build and prototype analysis pipelines to deliver insights at scale and develop knowledge of Google data structures and metrics to advocate for necessary changes.
• Collaborate cross-functionally to provide business recommendations (e.g., cost-benefit, forecasting, experiment analysis) and present findings effectively to stakeholders through visual displays of quantitative information.
• Develop and automate reports, build and prototype dashboards iteratively to provide insights at scale, solve for business priorities.

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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.