Data Scientist
Responsibilities:
Develop and deploy machine learning models (classification regression clustering) for client projects across finance healthcare and tech sectors
Perform exploratory data analysis feature engineering and statistical modeling on complex datasets
Build data pipelines and interactive visualizations using Tableau Power BI or Matplotlib
Collaborate with engineering teams to productionize models and monitor performance
Communicate insights and recommendations to non-technical stakeholders and clients
Requirements
Bachelors Degree in Data Science Computer Science Statistics or related discipline
3 years of hands-on experience in data science or machine learning
Proficient in Python R and SQL; experience with scikit-learn XGBoost TensorFlow or PyTorch
Strong background in statistical analysis and A/B testing
Familiarity with cloud platforms (AWS SageMaker Azure ML or GCP) is an advantage
Masters or PhD preferred; portfolio of projects (GitHub link required)
Required Skills:
5 years of hands-on Siemens S7 experience specifically S7-300 programming diagnostics and data block structure via Step 7 Classic or TIA Portal Profibus DP fluency able to diagnose bus faults read GSD device profiles identify slave addresses and recover from MP Bus Blackout-class faults without vendor support WinCC Flexible proficiency able to navigate and extract tag configuration alarm classes and screen logic from an existing compiled WinCC Flexible project OPC UA implementation experience via any of: Siemens Industrial PC OPC Server KEPServerEX open62541 or a Snap7-based Linux gateway solution Industrial networking OT/IT convergence unmanaged Profibus topology vs. managed Ethernet VLAN design and understanding of where IT security policy collides with OT real-time requirements Ability to independently read and produce electrical schematics PLC I/O mapping sheets drive parameter tables and field device wiring diagrams Comfortable working on an active high-visibility public-facing site in Qatar able to obtain Qatar SafePass site-specific HSE inductions and work under the relevant site access protocols Fluent English can write clear technical documentation and communicate directly with European OEM contractors a remote software development team and the clients facilities management team
Employment Type : Full Time
Experience: years
Vacancy: 1