Business and Marketing Data Scientist, gTech Ads (English, Spanish)

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

Descripción de la vacante

A leading technology company is seeking a Business and Marketing Data Scientist in Mexico City. The role involves utilizing analytics and machine learning to drive marketing effectiveness for clients. Candidates should have a master's degree, fluency in English and Spanish, and at least three years of relevant experience. Responsibilities include client engagement, data analysis, and presenting strategies to stakeholders. This position offers an exciting opportunity to work within a collaborative, innovative team and directly impact business outcomes.

Servicios

Flexible working location options

Collaborative team environment

Opportunities for growth and development

Formación

• Experience driving progress and mentoring junior team members.
• 3 years of experience using analytics to solve real-world problems.
• Ability to communicate in both English and Spanish.

Responsabilidades

• Lead data science aspects of client engagements using Machine Learning.
• Collaborate to identify best statistical techniques to solve problems.
• Translate data and model results into actionable tactical insights.

Conocimientos

Analytics

Machine Learning

Statistical Analysis

Problem Solving

Fluent English

Fluent Spanish

Educación

Master's degree in a quantitative discipline

Herramientas

Python

R

SQL

Descripción del empleo

Business and Marketing Data Scientist, gTech Ads (English, Spanish)

Mid

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

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. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina.

• 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:

• 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 with statistical and quantitative modeling and forecasting.
• Experience with machine learning techniques.
• Experience in data extraction, analysis, and reporting.
• Experience in Data Analysis, Machine Learning, and A/B Testing.

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 gTech Ads Marketing Data Science team helps measure and optimize marketing Return on Investment (ROI) for Google’s largest clients. We help build bespoke models that address client’s key business questions. We are multi-disciplined professionals, PhDs, statisticians, economists, engineers, and former consultants with experience in Data Science, Machine Learning and Marketing Analytics. We learn the technologies that drive Google products and bring those innovations to life in the context of specific client engagements.

We are positioned within the gTech Ads Large Customer Sales (LCS) Regional team which takes a creative, collaborative, and customer‑centric approach to provide consulting and solutions to advertisers and agency partners. Through technical implementation, optimization, and engineering solutions, gTech Professional Services helps customers achieve their business goals while building long‑term tech and marketing capabilities.

Responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management leveraging Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem; own the development of a modeling framework.
• Engage important stakeholders to assess data and model readiness and be able to scale a proof‑of‑concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical insights that are actionable for decision‑making. Co‑present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied data science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

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.