Data Scientist, Senior-Level

Jobgether; México; Remote; MXN 900,000 - 1,400,000; Full time

Benefits offered by this job

Work Flexibility

Technical Innovation

Leadership Opportunities

Global Collaboration

Career Growth

Strategic Exposure

Job summary

Jobgether in Mexico is seeking a Senior Data Scientist to drive enterprise-wide AI initiatives. You will shape data ecosystems, lead AI product backlogs, and deliver scalable, agentic AI solutions with strong technical leadership.

You will collaborate with global stakeholders, own roadmaps, and ensure governance and production readiness across complex environments.

Qualifications

• 5+ years in data science or AI architecture.
• Strong foundations in statistics, mathematics and ML.
• Experience designing agentic AI systems and LLM applications.
• Product ownership mindset; translate requirements into backlogs and roadmaps.
• Data quality, privacy, governance, and data stewardship expertise.
• Architect modular, scalable AI components for enterprise environments.
• Evidence of technical leadership and client-facing advisory skills.
• Fluent English (B2+) for global collaboration.

Responsibilities

• Design, build, and orchestrate agentic AI workflows and LLM-based solutions.
• Translate objectives into structured roadmaps and user stories.
• Lead Data & AI initiatives from strategy through delivery.
• Develop reusable data and AI components for enterprise use.
• Engage stakeholders and guide architecture discussions and workshops.
• Support data governance, security, and production readiness.

Skills

Data Science

Machine Learning

AI Architecture

Product ownership

Data governance

Cloud-native data platforms

Leadership

Client advisory

English communication

Education

Statistics and math foundations

Job description

Data Scientist, Senior-Level

Descripción del trabajo - Data Scientist, Senior-Level

Empresa : Jobgether Tipo de empleo : Tiempo completo Remote / Work from Home

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist, Senior-Level based in Mexico.

This is a senior-level opportunity for a data and AI professional who wants to influence enterprise-wide transformation initiatives. You will help shape modern data ecosystems and develop intelligent, agentic AI solutions from strategy through end-to-end delivery. The role combines hands-on data science expertise with product ownership, technical architecture, governance, and client advisory responsibilities. You will translate complex business needs into structured backlogs, roadmaps, and scalable Data & AI solutions. Your work will focus on building modular, reusable capabilities that can operate effectively across sophisticated enterprise environments. You will collaborate with technical and business stakeholders, lead high-level discussions, and provide trusted guidance on emerging AI opportunities. This position is ideal for an experienced professional who combines strong analytical foundations with strategic thinking, technical leadership, and a passion for innovation.

Accountabilities

• Design, build, and orchestrate agentic AI workflows, generative AI applications, LLM-based solutions, and intelligent autonomous systems.
• Translate business objectives and user needs into structured product backlogs, user stories, technical requirements, and execution roadmaps.
• Take ownership of Data & AI initiatives from strategic definition through architecture, development, implementation, and delivery.
• Design modular, scalable, and reusable Data and AI components that can be applied across complex enterprise environments.
• Apply strong data stewardship practices covering data quality, lifecycle management, privacy, governance, security, and production readiness.
• Bridge business and technical requirements by collaborating closely with stakeholders, project managers, engineers, data professionals, and other cross-functional teams.
• Act as a trusted technical advisor, leading demonstrations, architecture discussions, technical workshops, and high-level stakeholder conversations.
• Identify opportunities to improve enterprise data ecosystems and accelerate the adoption and scaling of advanced AI capabilities.
• Provide technical leadership throughout delivery, helping teams make sound architectural and implementation decisions.
• Communicate complex Data & AI concepts clearly to diverse, multicultural stakeholders and help align technical solutions with strategic business outcomes.

Requirements

• 5+ years of professional experience in Data Science, Machine Learning, AI Architecture, or a closely related field.
• Strong foundations in statistics, mathematics, machine learning, and modern cloud-native data platforms.
• Proven experience designing, building, or orchestrating agentic AI systems, generative AI solutions, LLM applications, or intelligent autonomous workflows.
• Strong product ownership mindset, with the ability to translate business requirements into product backlogs, user stories, priorities, and actionable roadmaps.
• Deep understanding of data quality, data lifecycle management, privacy, governance, and data stewardship practices.
• Ability to architect modular, scalable, reusable Data & AI components across complex enterprise technology environments.
• Strong technical leadership and client-facing advisory skills, including experience leading demonstrations, technical discussions, and stakeholder engagements.
• Excellent problem-solving and analytical capabilities, with the ability to connect technical decisions to business objectives.
• Strong communication and collaboration skills, particularly when working with cross-functional and multicultural teams.
• Fluent English at B2 level or higher, with the confidence to communicate, influence, and collaborate with global stakeholders.
• Ability to work independently while taking ownership of complex initiatives and contributing effectively within multidisciplinary teams.
• Passion for emerging AI technologies, enterprise transformation, continuous innovation, and building production-ready solutions.

Benefits

• Work Flexibility: Remote work opportunity.
• Professional Impact: Contribute to large-scale Data & AI transformation initiatives and help shape intelligent enterprise solutions.
• Technical Innovation: Work with generative AI, agentic systems, LLM applications, cloud-native data platforms, and modern AI architectures.
• Leadership Opportunities: Serve as a technical advisor and influence architecture, product direction, and strategic technology decisions.
• Global Collaboration: Work with diverse, multicultural stakeholders across complex enterprise environments.
• Career Growth: Expand expertise across data science, AI architecture, product ownership, governance, and enterprise transformation.
• Strategic Exposure: Gain experience connecting business strategy with scalable technical solutions and end-to-end AI delivery.