Jobs at Lingaro

The Business Analyst collaborates with stakeholders to analyze business processes, define requirements, support project management, and drive process improvements.

The Director of Supply Chain Analytics will lead strategy development, client advisory, delivery excellence, team growth, and partnerships in supply chain analytics and AI.

Lead development and implementation of BI solutions using Power BI, mentoring team members, ensuring alignment with business requirements, and maintaining high technical standards.

The role focuses on designing and implementing scalable analytics solutions for Life Sciences, supporting client engagements, and driving analytics capabilities through collaboration and innovative practices.

Transform fragmented media data into analytics-ready datasets, ensuring quality and usability for advanced marketing analytics. Collaborate with teams to support data-driven decisions.

The Supply Chain Senior Business Analyst/Consultant supports growth and delivery in supply chain practices, focusing on business analysis, solution design, and client engagement across strategy, technology, and delivery phases.

Provide expert service support, identify and develop solutions for complex issues, ensure business continuity, and mentor teammates.

Serve as a Level 3 support specialist resolving complex incidents, developing solutions and tools to maintain business continuity, deploying bug fixes, implementing visualization solutions, performing monitoring/automation/change deployments, documenting work, proposing corrective actions, and mentoring teammates while contributing to knowledge sharing and service improvements.

The role involves developing and implementing Machine Learning models, managing data pipelines, and supporting Data Science teams with best practices in ML operations and methodologies.

The role involves collaborating with Data Science teams to implement and manage ML models, designing GenAI solutions, and automating ML operations, while establishing best practices in ML lifecycle management.

As a Team Coordinator, you'll mentor consultants, oversee their career development, champion talent promotions, manage project support, and advocate for change within the team.

Lead the intelligent transformation of operations support functions through AI and data solutions, overseeing hands-on technical delivery and team leadership in AIOps initiatives.

The role involves leading the design and implementation of smart factory architectures, integrating OT and cloud services while ensuring cybersecurity and data flow validation across multiple sites.

Manage project execution by coordinating resources, developing project plans, ensuring timely delivery, and maintaining stakeholder communication while mitigating risks.

Join a remote team as a Lead Data Scientist focusing on building Generative AI applications. Responsibilities include developing applications, implementing pipelines, and performing model tuning.

Lead projects on Generative AI systems, design solutions, mentor teams, build applications, and optimize AI-driven developments in data science and engineering.

The Data Scientist will implement GenAI systems, build components, support project delivery, analyze findings, and deliver technical solutions, focusing on NLP and deep learning.

The Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.

Lead the data engineering team, providing technical expertise, mentorship, and project guidance while optimizing data solutions and ensuring compliance with industry standards.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.