13 publicaciones de empleo destacadas de data scientist en loreto cdmx (¡Están contratando!)

Startups Performance Lead, Google Cloud
Google —Ciudad de México, CDMX
- $152,000 a $221,000 por año
- Administración de personal
- Experiencia en ventas
- Análisis de datos
Data Scientist , Amazon Music - DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Doctorado
- Maestría
- SQL
Senior Full Stack Engineer – Lab Connect
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- Experiencia en bases de datos
Fraud Operations Analyst
Sezzle —Ciudad de México, CDMX
- $1,500 a $2,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- SQL
Senior Full Stack Engineer – Registration New
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
5d
Senior Software Development Engineer
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. - D44 —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Java
Cement Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Maestría
- Licenciatura
- Sin título de educación superior
12d
Machine Learning Engineer - Fraud
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Experiencia en bases de datos
- Seguro dental
- Seguro de la vista
Staff Software Engineer - Data Processing & Execution Platform
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Administración de personal
- Informática
Fullstack AI Software Engineer - LATAM
Futureproofing —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- JavaScript
- Python
Digital Media Strategist - MX
WITHIN —Ciudad de México, CDMX
- Contacto por teléfono
- Microsoft Excel
- Inglés
- Licenciatura
AI Presales
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Azure
- Doctorado
Postulación rápida
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
10d

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Data Scientist , Amazon Music - DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
2+ years of data scientist experience. Experience in a ML or data scientist role with a large technology company.
Fraud Operations Analyst
Sezzle —Ciudad de México, CDMX
Collaborate with analysts, operations specialists, data scientists and engineering to improve our fraud prevention mechanisms, processes and tools.
$1,500 a $2,000 por mes

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Startups Performance Lead, Google Cloud

Google -
Ciudad de México, CDMX

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Información del empleo

$152,000 a $221,000 por año

Cualificaciones

Administración de personal
Experiencia en ventas
Análisis de negocios
Análisis de datos
Inglés
Google Cloud Platform
Maestría
SQL
Licenciatura

Descripción completa del empleo

For Boulder Applicants:

The application window will be open until at least September 4, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

For Mexico Applicants:

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Mexico City, CDMX, Mexico.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
6 years of experience in go-to-market strategy, sales operations, strategy and operations, data analytics, or management consulting.
Experience with data analysis using data analytics tools (e.g., SQL, BigQuery, BI platforms, etc.), and collaborating with data scientists, BI engineers, or GTM systems developers.
Experience managing rhythm of business activities, such as sales-play planning, running business performance reviews, or targeting governance.
Experience working with executive-level stakeholders to present data analysis, propensity models, and business performance metrics.

Preferred qualifications:

MBA or other relevant technical advanced degree.
Experience in management consulting, finance, or business strategy function.
Direct prior experience working with sales targeting models, propensity-based prioritization, and scaling GTM performance metrics (e.g., tracking win-rate lifts, campaign conversion, or new logo acquisition).
Track record of high productivity and execution under tight deadlines, with a willingness to challenge assumptions, take direct ownership, and drive business outcomes.
Excellent relationship-building skills with sales leaders, product practice managers, and cross-functional stakeholders (e.g., BI, sales operations, tooling and systems teams).

About the job

The GTM Performance, Analytics and Cloud Excellence (PACE) team, a vital part of the Customer Experience organization, is dedicated to accelerating Google Cloud business generation through a data-driven and field-centric strategy. This involves guiding and monitoring sales plays and consumption activities across the entire Cloud business, empowering both field teams and leadership with data-informed insights. Our primary objective is to foster a strong Cloud consumption culture within the Go-to-Market (GTM) organization.

As a Startups Performance Lead for data-driven sales targeting and performance, you will lead the design, governance, and scaling of customer targeting intelligence to power go-to-market (GTM) sales plays across Google Cloud’s scaled segments (SMB, startups, and corporate). You will own the evolution of multi-source propensity models, translating first-party consumption data, third-party signals, and buyer intent into actionable, high-yield targeting lists, while directly leading the deployment of these models within the startup segment.

In this role, you will bridge the gap between technical data engineering and strategic executive execution. Partnering with cross-functional leaders in Strategy and Operations, Business Intelligence, Applied AI GTM, and segment sales teams, you will establish rigorous performance measurement frameworks to track win-rate lifts, drive pipeline conversion, and optimize consumption. A primary focus will be scaling data-driven plays within the startup segment (via 'proven pathways'), operationalizing list delivery to frontline sellers, and presenting strategic targeting outcomes to executive leadership.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Serve as the global Startups Performance Lead for data-driven customer targeting across all scaled segments (SMB, ctartups, and corporate), establishing unified account prioritization methodologies.
Maintain and continuously refine targeting logic, integrating first-party usage, third-party firmographics, and buyer intent signals to optimize selectivity and align with product practice and business priorities.
Partner with Applied AI GTM, Sales Tooling, and BI teams to integrate targeting outputs into core frontline platforms driving high representative adoption and actionability.
Deploy targeting intelligence within the startup segment. Partner with the startup practice team to design sellers play portfolios and manage the day-to-day operations of delivering targeting lists via Cloud Connect.
Design and implement measurement frameworks and KPIs to track the commercial impact of targeted plays. Perform rigorous business analysis to iterate targeting logic and play content to optimize business generation capture.

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.

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data scientist empleos en loreto cdmx

Startups Performance Lead, Google Cloud

Data Scientist , Amazon Music - DISCO

Senior Full Stack Engineer – Lab Connect

Fraud Operations Analyst

Senior Full Stack Engineer – Registration New

Senior Software Development Engineer

Cement Solution Manager

Machine Learning Engineer - Fraud

Staff Software Engineer - Data Processing & Execution Platform

Fullstack AI Software Engineer - LATAM

Digital Media Strategist - MX

AI Presales

Senior Data Scientist, DTC

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