20 publicaciones de empleo destacadas de data scientist, dtc en loreto, dif (¡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
12d
AI DI Engineering Manager - Mexico City
ailylabs —Ciudad de México, CDMX
- Experiencia en ventas
- Liderazgo
Postulación rápida
Machine Learning Engineer
Key Prediction —Ciudad de México, CDMX
- $40,000 a $45,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- Maestría
Postulación rápida
Product Manager - Benchling
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Maestría
- Licenciatura
Postulación rápida
Scientist, Senior
Infor —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- SQL
- Python
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
Custom Analytics Manager II
TransUnion —Miguel Hidalgo, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
SUB-DIRECTOR DESARROLLO DE SISTEMAS
Grupo Financiero Banorte —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
AI Native Data Engineer
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Administración de personal
- ERP systems
Postulación rápida
ELN Analyst (Benchling)
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Maestría
- Licenciatura
Postulación rápida
Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Licenciatura
- Mejora continua
EESE Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Licenciatura
13d
Director/a Comercial y de Consultoría
KANTAR —Ciudad de México, CDMX
- Tiempo completo
- Habilidades de comunicación
- Negociación
- Oportunidades de crecimiento
E-COMMERCE & AFFILIATE MANAGER
URBAN NETWORK CAPITAL GROUP —Ciudad de México, CDMX
- $20,000 a $25,000 por mes
- Tiempo completo
- Inglés
- Habilidades de organización
Postulación rápida
AI / ML Engineer
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Forward Deployed Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Python
Postulación rápida
Online Media Manager
DiDi Global —Cuauhtémoc, CDMX
- Microsoft Excel
- Inglés
8d
Chargeback Operations Analyst
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Licenciatura
- Habilidades de comunicación
Clinical Scientist in CNS - LATAM
IQVIA —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Maestría
Senior Analyst, Forecasting
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida

Quiero recibir la alerta de empleo más reciente para data scientist, dtc en loreto, dif

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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
Hace 12 días

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, dtc empleos en loreto, dif

Startups Performance Lead, Google Cloud

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Quiero recibir la alerta de empleo más reciente para data scientist, dtc en loreto, dif

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