Senior Lead, Data Science and AI

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SeniorHybryda·WrocławFull-time

#475002·Dodano dziś·0

Źródło: Kyndryl

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Tech Stack / Keywords

Python SQL Microsoft Azure REST APIsWorkdayPower AppsGit Docker CI/CDMLOps

Podsumowanie oferty

As a Full-Stack Senior Lead Data Scientist on the People Workforce Analytics team, you will build internal HR solutions, including an AI agent and a natural-language data agent for HR reporting. You will develop and deploy full-stack data science and AI solutions using Python, SQL, and Microsoft Azure.

Wymagania

Advanced proficiency in Python and SQL for production-grade data pipelines, backend services, and machine learning models.
Experience designing, building, and deploying scalable cloud solutions using Microsoft Azure services.
Hands-on experience building REST APIs, backend microservices, and integrations between enterprise cloud applications, such as Workday and Microsoft Power Apps.
Deep understanding of the machine learning lifecycle, from data extraction and model training to deployment, monitoring, and MLOps governance.
Experience with software engineering best practices, including Git, containerization such as Docker, automated testing, and CI/CD pipelines.
Willingness and flexibility to work into the evening, typically until 18:00–19:00 CET, to collaborate in real time with US East Coast and Latin American teams.

Preferred:

Professional experience in management or technology consulting, with the ability to quickly unpack complex business processes.
Background in a high-growth startup or agile team environment building greenfield technical solutions with minimal supervision.
Familiarity with enterprise Data Fabric concepts or human resources data architectures.

Obowiązki

Design, build, and deploy end-to-end full-stack data science and AI solutions, focusing on the AI agent and natural-language HR reporting tools.
Architect and deploy scalable solutions using Microsoft Azure services, integrating enterprise data sources such as Workday and Power Apps.
Collaborate with distributed teams across the US, Costa Rica, the UK, and India, adjusting your schedule to support daily alignment with US East Coast stakeholders.
Partner with data engineers and business leaders to develop scalable data pipelines, REST APIs, and backend services that operationalize machine learning and AI workloads.
Apply software engineering and MLOps practices to move models from development into production reliably.

Benefity

Dedicated sponsorship to earn certifications across all four major cloud platforms.
Architectural freedom to experiment.
High visibility across senior leadership and direct collaboration with executives.

Inne informacje

The role requires flexibility to work into the evening, typically until 18:00–19:00 CET, for real-time collaboration with US East Coast and Latin American teams.

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