Senior Business Data Scientist, Behavioral Economics (English, Spanish)

Google Inc.; Ciudad de México; Presencial; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading company seeks a Senior Business Data Scientist to analyze extensive datasets and provide actionable insights. Collaborating with various teams, you will address complex business challenges and communicate findings effectively to enhance operations. Ideal candidates will have advanced quantitative skills and experience in data-driven decision-making.

Formación

• Master's degree in a quantitative discipline (Statistics, Engineering).
• 4 years of experience using analytics.
• Fluent in English and Spanish.

Responsabilidades

• Translate business problems into investigative solutions.
• Build and maintain large datasets from complex data sources.
• Develop and automate reports to provide insights.

Conocimientos

Statistical analysis

Data analysis

Python

R

SQL

Machine learning

Problem-solving

Communication

Educación

Master's degree in a quantitative discipline

Descripción del empleo

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.

Please submit your resume in English - we can only consider applications submitted in this language.

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 Senior Business Data Scientist, you will work all across the organization to shape Google's business and technical strategies by creating, processing, analyzing, and interpreting huge datasets. Using investigative and statistical methods, you will use data to identify opportunities for Google to operate more efficiently, from enhancing advertising efficacy to improving our understanding of user behavior. You will work with a multi-disciplinary team of data scientists, engineers, product managers, sales associates, and marketing teams to adjust Google's practices according to your findings. You will also have to identify the problems and will figure out the solution.

In this role, you will bring scientific and statistical methods to test the data pipelining and product development, with a focus on the behaviors of end users. Through your professional expertise and judgment, you will work on multiple projects concurrently, developing datasets, analyses, models, and methods to support and verify the impact of your recommendations.

Responsibilities

• Work with engineering, data science, and business collaborators to translate non-routine, interdisciplinary business problems into investigative solutions (e.g., pipelines, experiments, bespoke datasets, dashboards or machine learning models).
• Build and maintain large, organized datasets from complex, unstructured, and continuously changing data sources.
• Develop and automate reports, and iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
• Build analysis pipelines iteratively to provide insights at scale, and develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
• Contribute to a wide variety of research projects using data engineering, statistical analysis or machine learning methods.

Requirements

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 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:

• PhD in Statistics, Computer Science, Mathematics, or a quantitative social science such as Economics, Psychology, Political Science, or equivalent practical experience.
• 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• Experience articulating business/research questions, designing analysis frameworks, sourcing/creating the necessary data, using hypothesis testing, and translating analysis results into business recommendations.
• Experience building data pipelines using different types of user data, including survey and open-text responses, product logs, etc.
• Experience with analyzing machine learning model performance or working on Large Language Models (LLMs).

Additional Information

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .