Data Scientist, Senior-Level

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.

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