Business Data Scientist, Subscriptions and Consumer Infrastructure, Marketing (English, Spanish)

Google Inc.; Ciudad de México; Presencial; MXN 900,000 - 1,200,000; Jornada completa

Descripción de la vacante

A leading technology company is seeking a Business Data Scientist to analyze user behavior and drive marketing strategies. You will leverage your expertise in data analysis and statistical modeling to generate insights that enhance product performance. Fluency in both English and Spanish is essential for collaboration with local stakeholders. This role is ideal for candidates with a strong quantitative background and experience in consumer-focused solutions. Join us to make a significant impact on user engagement and growth.

Formación

• 3 years of experience using analytics to solve business problems.
• Ability to communicate fluently in English and Spanish.
• Experience in data science, particularly in consumer-facing products.

Responsabilidades

• Conduct analysis to identify trends and insights for marketing strategies.
• Create reports and dashboards to track key metrics.
• Collaborate with teams to design and implement A/B tests.

Conocimientos

Data analysis

Statistical modeling

A/B testing

Bilingual communication

Educación

Master's degree in a quantitative discipline

Herramientas

Python

R

Descripción del empleo

Business Data Scientist, Subscriptions and Consumer Infrastructure, Marketing (English, Spanish)

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 and Spanish fluently to interact with local stakeholders.

Preferred qualifications:

• PhD in a quantitative field such as Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
• 3 years of experience in data science or product analytics, with a track record of driving user growth in consumer facing products or services.
• Experience with statistical data analysis such as generalized linear models, multivariate analysis, clustering/segmentation and sampling methods, controlled experiment design, and causal inference methods.
• Experience with R or Python for statistical analysis and data visualization.

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.

Google Marketing starts with technology and ends with the user, bringing them together unconventionally. We approach marketing by demonstrating how our products solve problems, from the everyday to the epic, changing the game, redefining the medium, prioritizing the user, and letting the products speak for themselves.

The Subscriptions and Customer Growth Marketing organization drives consumer apps and subscription growth. We partner with product engineering and insights to understand the user and bring helpful products to market.

Responsibilities

• Conduct analysis of user and subscriber behavior, identify trends, and uncover insights that drive product improvements and marketing strategies.
• Create clear and informative reports and dashboards to track key usage metrics and communicate findings to stakeholders.
• Collaborate with cross-functional teams to design and implement A/B tests to evaluate the impact of product changes on business outcomes.
• Build models to predict user churn, identify at-risk subscribers, and forecast future user trends.
• Work closely with product managers, marketers, and engineers to translate data insights into actionable recommendations.

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.