19 publicaciones de empleo destacadas de data & ai scientist en loreto, dif (¡Están contratando!)

Scientist, Senior
Infor —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- SQL
- Python
Business Intelligence Analyst, NCRC & RCX, LATAM CFX
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Oracle
- Java
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
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- 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 Product Manager - Everand & Fable
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- CAD
- Gestión de productos
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Fullstack AI Software Engineer - LATAM
Futureproofing —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- JavaScript
- Python
Machine Learning Engineer - Fraud
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Experiencia en bases de datos
- Seguro dental
- Seguro de la vista
Senior Product Designer (UX)
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- Sin título de educación superior
Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Licenciatura
- Mejora continua
Senior Full Stack Engineer – Lab Connect
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- Experiencia en bases de datos
Senior Full Stack Engineer – Registration New
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
4d
AI Presales
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Azure
- Doctorado
Postulación rápida
Senior Software Engineer
Helix —Ciudad de México, CDMX
- $101,333 a $150,750 por mes
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
2d
Cement Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Maestría
- Licenciatura
- Sin título de educación superior
12d
Digital Media Strategist - MX
WITHIN —Ciudad de México, CDMX
- Contacto por teléfono
- Microsoft Excel
- Inglés
- Licenciatura
Associate Account Manager
Konovo —Ciudad de México, CDMX
- Home Office (Desde casa)
- Microsoft Excel
- Administración de personal
- Salesforce
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
10d

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Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
Spearhead business intelligence & data analytics initiatives that directly impact Amazon's profitability. Master's degree, or Advanced technical degree.
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Quiero recibir la alerta de empleo más reciente para data & ai scientist en loreto, dif

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Scientist, Senior

Infor -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Ventas SaaS
Inglés
SQL
Visualización de datos
Python

Descripción completa del empleo

Description

The Senior Data Scientist (Strategy Data Science) is a senior individual contributor on Infor's Post-Sales Data Science team. This role is responsible for owning analytical workstreams end to end in close partnership with business stakeholders across various business functions. You will work on high-priority questions related to customer adoption, retention, expansion, and growth, translating strategic business problems into rigorous, actionable analysis.

This is a role for someone who combines strong analytical and technical skills with the communication ability and business judgment to create measurable business impact with data-driven insights.

A Typical Day in the Life Includes:

Own data science workstreams end to end. Take business questions from initial scoping through data analysis, insight synthesis, and stakeholder communication. Manage day-to-day relationships with business partners. Develop exploratory insights, statistical models, and causal frameworks as appropriate.
Frame problems before solving them. Work with stakeholders to translate business objectives into clear analytical frameworks. Influence problem framing to ensure questions can be answered using data science.
Translate findings into decisions. Develop clear narratives and exec-facing presentations that connect analytical results to business decisions. Prioritize actionability and connection to business outcomes without sacrificing methodological transparency.
Collaborate across team on data foundation and DS practices. Work as part of a cohesive data science pod to share best practices, innovations and business/data knowledge.
Support turning insights into actions. Develop production-ready analytical scripts and contribute to collaborations with IT on deployment of insights into operational workflows.

Basic Qualifications:

SaaS product or customer analytics background. Significant experience working on user/customer adoption, retention, engagement, or lifecycle analytics in a B2B SaaS or enterprise software environment. Comfort thinking in terms of cohorts, funnels, and behavioral metrics.
End-to-end analytical ownership. Demonstrated ability to independently own a full analytical project, from problem framing to data acquisition and preparation, analysis, and insight communication, all with minimal technical supervision.
Strong SQL and Python skills. Ability to independently explore and transform data, build analytical datasets, and implement statistical models. Comfort working in Snowflake.
Stakeholder-facing communication. Proven ability to present analytical findings to business stakeholders in a clear, compelling, and understandable way. Experience relating methodology to business narrative and clearly identifying recommended actions.
Statistical rigor. Solid grounding in statistical methods relevant to business analytics: regression modeling, segmentation, A/B testing, survival analysis, propensity modeling. Ability to explain methodological choices clearly and evaluate and articulate tradeoffs between approaches.
Full professional proficiency in English.
Ability and willingness to work on-site three days per week as part of a hybrid work model.
Legal authorization to work permanently in Mexico for any employer without requiring a visa transfer or visa sponsorship now or in the future.

Preferred Qualifications:

Customer Success domain experience. Prior work supporting or embedded within a Customer Success organization, or direct experience with adoption, churn, and expansion analytics.
Experience influencing business decisions with data. Examples of analytical work that demonstrably changed a business decision or drove a stakeholder to action that measurably impacted KPIs.
Data visualization and storytelling. Strong demonstrated instinct for visual communication of quantitative findings.
Experience with AI data science workflows. Comfort with using generative AI tools to accelerate data science workflows.

Location: Montes Urales Norte 505, Lomas de Chapultepec, Miguel Hidalgo, 11000 Ciudad de México

About Infor

About Infor

Infor is where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn't just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you're not just building a career. you're helping to build what's next.

Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

For more information visit www.infor.com

About Infor

Our Values

At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization.

We have a relentless commitment to a culture based on PBM™. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.

Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section.

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data & ai scientist empleos en loreto, dif

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Business Intelligence Analyst, NCRC & RCX, LATAM CFX

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Senior Product Manager - Everand & Fable

Fullstack AI Software Engineer - LATAM

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AI Presales

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Description

A Typical Day in the Life Includes:

Basic Qualifications:

Preferred Qualifications:

About Infor

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