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.
- integral 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.

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📌 Data scientist, senior-level (México)
🏢 Jobgether
📍 México