An advanced analytics and machine learning project focused on improving IT service stability by proactively identifying, predicting, and mitigating operational risks. The project involved developing predictive and prescriptive models, including deep learning and neural networks, automated root cause analysis for critical IT systems, and Generative AI–based self-reporting solutions. Advanced dashboards and reports were delivered using Power BI and Microsoft Fabric to support data-driven IT Service Management and continuous service improvement.

Data Scientist

Your responsibilities

• Designing, developing, and maintaining advanced analytics and machine learning solutions to improve IT service stability and reduce operational risks
• Building predictive and prescriptive models, including deep learning and neural networks, to minimize MTRS and incident recurrence
• Implementing automated root cause analysis for business-critical IT systems
• Developing Generative AI–based, fully automated self-reporting and IT Ops automation solutions
• Analyzing, processing, and modeling IT Service Management data to generate actionable insights
• Performing hypothesis-driven analysis and designing statistical models to validate business assumptions
• Creating advanced dashboards and reports using Power BI, DAX, Power Query, and Microsoft Fabric
• Ensuring data quality, governance, and adherence to best data practices
• Collaborating with stakeholders to co-create analytics solutions and continuous service improvement plans (CSI)
• Working within a SAFe Agile Release Train and Scrum team, contributing to cross-functional, data-driven initiatives

Our requirements

• Expert-level knowledge of statistics and data analysis techniques
• Strong professional experience with Python for machine learning and data wrangling
• Advanced skills in T-SQL, DAX, and Power Query
• Hands-on experience with Microsoft Power BI Service and/or Microsoft Fabric
• Proven ability to design, build, and optimize machine learning models (predictive & prescriptive analytics)
• Experience in data mining, feature selection, and classifier optimization
• Strong understanding of data modeling, data quality, and data governance best practices
• Ability to translate complex analytical results into clear, actionable business insights
• Strong ownership, autonomy, and accountability for delivered solutions
• Experience working closely with business and technical stakeholders
• Proven experience (minimum 2–3 years) in a similar Data Scientist or Analytics role
• Academic degree in Science, Software Engineering, Mathematics, Statistics, or a related field
• Fluency in English at C2 level or higher
• Experience with Generative AI and automated self-reporting solutions
• Knowledge of Deep Learning and Neural Networks
• Experience in IT Service Management (ITIL Foundation certification or equivalent)
• Experience working in Lean-Agile environments (Scrum, SAFe)
• Familiarity with IT Ops, Incident, Problem, and Change Management analytics
• Experience with Microsoft Power Platform and automation solutions
• Exposure to MLOps, ML automation, or model lifecycle management
• Experience with supplier performance analytics and CSI (Continual Service Improvement)