Business Data Scientist, Ads Marketing Analytics (English)

Google Inc.; Ciudad de México; Presencial; MXN 800,000 - 1,200,000; Jornada completa

Descripción de la vacante

A leading technology firm in Mexico City seeks a Business Data Scientist for its Ads Marketing Analytics team. This role involves data analytics, AI solutions implementation, and statistical analysis to optimize marketing strategies. The ideal candidate should hold a master's degree and have at least 3 years of relevant experience, especially in machine learning and data-driven insights. The position demands fluency in English and focuses on driving initiatives that enhance operational efficiency through innovative data solutions.

Formación

• Master's degree or equivalent practical experience in Statistics, Engineering, or Sciences.
• 3 years of experience using analytics to solve product or business problems.
• 6 years of work experience is preferred.

Responsabilidades

• Design, develop, and implement AI-powered agents for marketing analytics.
• Define, measure, and report on AI agent impact.
• Conduct analysis using statistical and machine learning methods.

Conocimientos

Experience in data analytics

Ability to communicate in English fluently

Statistical data analysis

Machine learning techniques

Educación

Master's degree in a quantitative discipline

Herramientas

Python

R

SQL

Descripción del empleo

Business Data Scientist, Ads Marketing Analytics (English)

Mid

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

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, or a relevant PhD degree.
• Ability to communicate in English fluently to communicate with different customers and stakeholders.

Preferred qualifications:

• 6 years of work experience (e.g., statistician/computational biologist/bioinformatician/data scientist/product analyst), including experience with statistical data analysis such as linear models, multivariate analysis, causal inference, sampling methods.
• Experience with statistical and quantitative modeling and forecasting. Experience with machine learning techniques.
• Experience with non-SQL development or analytics tools (object-oriented programming, R, Python, etc.) and data visualization.
• Excellent investigative skills with the ability to analyze research or performance data and apply that analysis to optimize programming strategy.

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 perform data analytics, drive initiatives in experimentation and measurement, and advance machine learning capabilities. This includes designing and building innovative AI agents to enhance operational efficiency and unlock significant OpEx and time savings across global marketing programs. In collaboration with a multidisciplinary team of marketing, product management, data scientists, and engineers, you will tap into underlying data, develop key metrics and methodologies, and generate insights. These insights, often powered by both rigorous analysis and custom-built AI agents, will enable marketers to develop powerful, highly effective campaigns. You will leverage core data science expertise to design, prototype, and build analysis pipelines and agentic systems to support initiatives across the entire Ads Marketing lifecycle from acquisition, onboarding and growth while conducting incrementality measurement to inform strategic decisions. You will build investigative frameworks and measurement capabilities to generate data-driven insights that drive business growth. You will effectively present and communicate these insights and investigative results to marketing partners and leadership, informing key decision-making.

Responsibilities

• Design, develop, and implement AI-powered agents and automation solutions to enhance efficiency across marketing and ads marketing analytics.
• Define, measure, and report on the impact of AI agent deployments, quantifying improvements in OpEx and team velocity. Utilize data-driven insights to iterate on and optimize these agents, ensuring continuous value delivery and alignment with goals for marketing efficiency.
• Work with data sets and solve analysis problems, applying advanced investigative methods (such as statistical and machine learning models) as needed. Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs.

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.