applied analytics specialist Jobs in Doha

applied analytics specialist

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data scientist

data scientist (ami)

data steward

data scientist ami

Inspire Management Training Center

,artificialThe Data Scientist (AMI) is responsible for analyzing smart meter and energy consumption data from Advanced Metering Infrastructure systems to generate actionable insights for utility operations. The role focuses on predictive analytics, anomaly detection, forecasting, and optimization of energy usage, supporting data-driven decision-making, operational efficiency, and smart grid improvements.Job Responsibilities<ul><li>Analyze large volumes of AMI smart meter data to identify trends, patterns, and anomalies.</li><li>Develop predictive models for energy consumption, load forecasting, and outage detection.</li><li>Perform data cleaning, transformation, and feature engineering on AMI datasets.</li><li>Build and deploy statistical and machine learning models to support utility operations.</li><li>Detect meter faults, non-technical losses (NTL), and abnormal consumption behavior.</li><li>Develop dashboards, reports, and visualizations to communicate insights to stakeholders.</li><li>Collaborate with AMI engineers, data engineers, and business teams to define analytics requirements.</li><li>Support Meter Data Management System (MDMS) analytics and data validation processes.</li><li>Optimize algorithms for scalability and real-time or near real-time analytics.</li><li>Ensure data quality, governance, and compliance with utility and regulatory standards.</li></ul>Qualifications<ul><li>Master&rsquo;s or PHD in Data Science, AI, Computer Science or related field.</li><li>Certified in advanced data science, machine learning or artifical intelligence</li><li>Minimum 13 years of experience in data science, or advanced analytics, preferably in utlities or energy sector</li><li>Strong knowledge of machine learning, statistical modeling, and data mining techniques.</li><li>Proficiency in Python or R and data libraries such as Pandas, NumPy, Scikit-learn.</li><li>Experience with SQL and handling large-scale datasets.</li><li>Familiarity with AMI systems, smart metering, or energy utilities is preferred.</li><li>Experience with visualization tools such as Power BI, Tableau, or similar.</li></ul>Education:<ul><li>Doctorate (Required)</li></ul>Experience:<ul><li>Data Scientist: 10 years (Required)</li></ul>License/Certification:<ul><li>Advanced Data Science, machine learning, or AI (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>Work Location: In person

Data Scientist (AMI)

The AMI (Advanced Metering Infrastructure) System Operator is responsible for monitoring, operating, and maintaining AMI systems to ensure accurate and reliable collection of smart meter data. The role supports daily utility operations by monitoring system performance, resolving communication issues, managing meter data, and coordinating with field teams to maintain system reliability and efficiency.Job Responsibilities<ul><li>Monitor the performance and availability of AMI systems, smart meters, and communication networks.</li><li>Ensure successful collection, validation, and processing of meter data.</li><li>Investigate and resolve meter communication failures, outages, and data discrepancies.</li><li>Monitor system alarms and events and take appropriate corrective actions.</li><li>Perform routine system checks and support maintenance activities.</li><li>Coordinate with field technicians to troubleshoot and resolve meter-related issues.</li><li>Generate operational reports and analyze system performance metrics.</li><li>Execute remote meter operations, including meter reads, connect/disconnect services, and firmware updates.</li><li>Maintain accurate records of incidents, maintenance activities, and system performance.</li><li>Support testing, commissioning, and integration of new AMI devices and system enhancements.</li><li>Ensure compliance with operational procedures, data security, and regulatory requirements.</li></ul>Qualifications<ul><li>Bachelor's degree in Electrical Engineering, Computer Engineering, Information Technology, or a related field.</li><li>Minimum 4 years of experience in AMI system monitoring, MDM/HES operations, or a related technical field.</li><li>Knowledge of AMI architecture, smart meters, and communication technologies.</li><li>Experience with Meter Data Management Systems (MDMS) and AMI Head-End Systems is preferred.</li><li>Strong analytical, troubleshooting, and problem-solving skills.</li><li>Proficiency in Microsoft Office and system monitoring applications.</li><li>Good communication and teamwork skills.</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AMI System Operator: 4 years (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>Work Location: In person

AMI System Operator

Confidential

<ul><li>Analyze metering data from Advanced Metering Infrastructure (AMI) and related systems to identify consumption patterns, trends, anomalies, and operational insights.</li><li>Prepare analytical reports, dashboards, and performance summaries to support management decision-making and operational planning.</li><li>Monitor AMI network data health by performing regular data validation, cleansing, reconciliation, and quality assurance activities.</li><li>Coordinate with metering, IT, engineering, and operations teams to ensure data accuracy, consistency, and integrity across all integrated systems.</li><li>Investigate data anomalies, communication failures, and system performance issues, and recommend corrective and preventive actions.</li><li>Support performance monitoring, forecasting, and continuous improvement initiatives to enhance metering operations and data reliability.</li><li>Track and analyze operational activities, including work orders, meter commissioning, rectification works, preventive, predictive, corrective, and emergency maintenance, and work completion documentation using structured data analytics.</li><li>Maintain the confidentiality, integrity, and availability of metering data in accordance with corporate governance and information security standards.</li><li>Perform any other duties and responsibilities assigned by the immediate supervisor to support departmental and organizational objectives.</li></ul>

Data Analyst

<ul><li>Support the operation, maintenance, and integration of telecommunication systems utilized within Advanced Metering Infrastructure (AMI) solutions.</li><li>Maintain, monitor, troubleshoot, and optimize telecommunication equipment and communication infrastructure used for meter data transmission.</li><li>Investigate telecom failures, connectivity issues, communication outages, and suspected tampering incidents, and prepare comprehensive technical reports, including root cause analysis and recommended corrective and preventive actions.</li><li>Prepare and submit accurate daily, weekly, and monthly progress reports covering resource deployment, work status, completed activities, pending issues, and overall project performance in accordance with contract requirements.</li><li>Provide advanced technical support during the installation, commissioning, operation, maintenance, and repair of telecommunication and AMI communication systems.</li><li>Ensure compliance with ISO standards, corporate risk management policies, information security requirements, and Health, Safety, and Environmental (HSE) regulations.</li><li>Provide technical guidance, mentoring, and knowledge sharing to junior engineers, technicians, and field personnel to support continuous capability development.</li><li>Perform any other duties and responsibilities assigned by management to support departmental and organizational objectives.</li></ul>

Telecom Engineer

malomatia

<div>
 
 Job Description
 
 
 
 Must Have
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in data science, analytics, or a quantitative modeling role.
 </li>
 <li>
 Hands-on proficiency in Python (pandas, NumPy, scikit-learn) and SQL for building and evaluating models end to end.
 </li>
 <li>
 Demonstrated ability to design experiments, validate model performance, and guard against overfitting and data leakage.
 </li>
 <li>
 Clear, reproducible, and well-documented analytical practice.
 </li>
 <li>
 Ability to communicate findings clearly to both technical colleagues and business stakeholders.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with visualization tools such as matplotlib, seaborn, Power BI, or Tableau.
 </li>
 <li>
 Exposure to cloud analytics environments, ideally Oracle Cloud Infrastructure (OCI).
 </li>
 <li>
 Experience with time-series analysis or natural-language data.
 </li>
 <li>
 Familiarity with collaborative workflows and code review.
 </li>
 <li>
 Exposure to working with engineering teams on model handoff.
 </li>
 <li>
 Data science certifications.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conduct exploratory data analysis to uncover patterns, relationships, and opportunities in client and operational data.
 </li>
 <li>
 Build, train, and evaluate predictive and descriptive models using Python (pandas, scikit-learn) and SQL.
 </li>
 <li>
 Build and evaluate deep learning models, such as neural networks, using frameworks like TensorFlow or PyTorch where they suit the problem.
 </li>
 <li>
 Perform feature engineering, data cleaning, and dataset preparation for modeling.
 </li>
 <li>
 Design and analyze experiments, including A/B tests, to measure the impact of changes and interventions.
 </li>
 <li>
 Prototype analytical solutions and iterate on them based on stakeholder and senior data scientist feedback.
 </li>
 <li>
 Create clear visualizations, dashboards, and summaries that translate analysis into business insight.
 </li>
 <li>
 Validate model performance using appropriate metrics and guard against overfitting and data leakage.
 </li>
 <li>
 Document methodology, assumptions, and results to ensure reproducibility and knowledge sharing.
 </li>
 <li>
 Collaborate with senior data scientists, engineers, and analysts on larger initiatives.
 </li>
 <li>
 Support the preparation of analytical reports and presentations for clients and internal teams.
 </li>
 <li>
 Maintain and improve existing analytical code and notebooks
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Data Science) or equivalent experience; Master's an advantage.
 </li>
 <li>
 Proficiency in Python for data analysis (pandas, NumPy, scikit-learn) and working knowledge of SQL.
 </li>
 <li>
 Solid grounding in statistics and core machine-learning techniques (regression, classification, clustering).
 </li>
 <li>
 Working knowledge of deep learning concepts and frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Experience with feature engineering and preparing real-world, messy datasets for modeling.
 </li>
 <li>
 Ability to communicate findings clearly to technical and business audiences.
 </li>
 <li>
 Understanding of model evaluation metrics and validation techniques.
 </li>
 <li>
 Familiarity with version control (Git) and reproducible analysis practices.
 </li>
 </ul>
</div>

Data Scientist

<div>
 
 Overview
 
 
 
 
 
 We are seeking a Senior ETL Designer &amp; Developer to design, build, and support enterprise-scale data integration and analytics solutions across Informatica PowerCenter, Teradata EDW, and Google Cloud Platform (GCP). The role involves developing scalable ETL pipelines, enabling telecom data processing, supporting enterprise reporting (including ad-hoc analytics), and optimizing large-scale EDW environments.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 ETL &amp; Data Engineering
 
 <ul>
 <li>
 Design, develop, and maintain ETL/ELT workflows using Informatica PowerCenter
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 <li>
 Build scalable batch and near real-time data pipelines
 </li>
 <li>
 Develop reusable mappings, workflows, and transformation logic
 </li>
 <li>
 Automate ETL processes using Unix shell scripting
 </li>
 </ul>
 
 Data Warehouse (Teradata)
 
 <ul>
 <li>
 Work extensively with Teradata Enterprise Data Warehouse environments
 </li>
 <li>
 Strong experience with Teradata CLDM (Common Logical Data Model)
 </li>
 <li>
 Design and manage EDW layered architecture (Staging, ODS, EDW, Data Marts)
 </li>
 <li>
 Extensive expertise in Teradata performance optimization techniques including: Explain plan analysis, Partitioning strategies, Join/index optimization (PI, NUSI, etc.), Query tuning and workload management
 </li>
 <li>
 Strong Teradata SQL coding expertise for complex transformations and large datasets
 </li>
 <li>
 Design and optimize dimensional models (star/snowflake schemas)
 </li>
 </ul>
 
 Cloud Data Engineering
 
 <ul>
 <li>
 Develop solutions on Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Pub/Sub)
 </li>
 <li>
 Implement and support hybrid data architectures integrating on-prem EDW with cloud systems
 </li>
 </ul>
 
 BI, Reporting &amp; Data Virtualization
 
 <ul>
 <li>
 Support enterprise BI tools: SAP BusinessObjects, Qlik Sense, Looker
 </li>
 <li>
 Support ad-hoc reporting requirements from business users using EDW and BI layers
 </li>
 <li>
 Work with Denodo Platform for federated data access, performance optimization, and logical data modeling
 </li>
 </ul>
 
 Telecom Domain Experience
 
 <ul>
 <li>
 Strong experience in telecom OSS/BSS data environments
 </li>
 <li>
 Hands-on knowledge of: CDR/IPDR data processing; Billing, CRM, and subscriber lifecycle data; Network performance, fault, and mediation systems
 </li>
 <li>
 Understanding of telecom KPIs (ARPU, churn, usage patterns, QoS metrics)
 </li>
 <li>
 Experience handling high-volume, complex telecom datasets
 </li>
 </ul>
 
 Scripting &amp; Performance Optimization
 
 <ul>
 <li>
 Strong expertise in Unix shell scripting for automation, scheduling, and monitoring
 </li>
 <li>
 Advanced Teradata performance tuning and optimization for large-scale workloads
 </li>
 <li>
 Optimize ETL jobs, SQL queries, and EDW processes for scalability and efficiency
 </li>
 <li>
 Troubleshoot pipeline failures and ensure system reliability
 </li>
 </ul>
 
 Required Skills
 
 <ul>
 <li>
 7+ years of experience in ETL development and data warehousing
 </li>
 <li>
 Strong hands-on experience with Informatica PowerCenter
 </li>
 <li>
 Deep expertise in Teradata EDW, including CLDM and optimization techniques
 </li>
 <li>
 Strong Teradata SQL coding and performance tuning skills
 </li>
 <li>
 Experience with EDW architecture (Staging, ODS, EDW, Data Marts)
 </li>
 <li>
 Advanced SQL and data modeling (Kimball/Inmon)
 </li>
 <li>
 Experience with Google Cloud Platform data services
 </li>
 <li>
 Unix shell scripting for automation
 </li>
 <li>
 Telecom domain experience (preferred/required based on role level)
 </li>
 </ul>
 
 Preferred Skills
 
 <ul>
 <li>
 Cloud migration experience (on-prem EDW to GCP)
 </li>
 <li>
 Python or additional scripting/automation skills
 </li>
 <li>
 CI/CD pipelines for data engineering workflows
 </li>
 <li>
 Experience with BI semantic layers and enterprise reporting frameworks
 </li>
 <li>
 Experience supporting ad-hoc business reporting in enterprise environments
 </li>
 </ul>
 
 Soft Skills
 
 <ul>
 <li>
 Strong communication and stakeholder management skills
 </li>
 <li>
 Analytical thinking and strong problem-solving ability
 </li>
 <li>
 Ability to work in agile, fast-paced environments
 </li>
 <li>
 Strong ownership mindset with focus on data quality and delivery
 </li>
 </ul>
</div>

Senior ETL Designer & Developer

DOHA BANK

<div>
 
 
 Role Objective
 
 
 
 
 
 
 The incumbent will perform activities pertaining to Data Privacy across Doha Bank, in line with policies, procedures and applicable Data Privacy laws and regulations. The incumbent will support in development and implementation of the bank&rsquo;s Data Privacy Program, ensure data compliance through relevant mechanism, and impart staff training in close coordination with the relevant stakeholders.
 
 
 
 
 
 
 Detailed Roles and Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Perform all operational activities as assigned by the reporting authority, in compliance with local regulations, Doha Bank&rsquo;s policies and units/departments approved policies and procedures.
 </li>
 <li>
 Support in development and implementation of the bank&rsquo;s Data Privacy framework, and program in accordance with relevant Data Privacy laws and regulations.
 </li>
 <li>
 Work closely with the respective stakeholders to ensure compliance with applicable Data Privacy laws and regulations for the bank.
 </li>
 <li>
 Prepare Data Privacy policies, procedures &amp; notices and perform annual review of these documents for their compliance to legal, regulatory and organizational updates.
 </li>
 <li>
 Work closely with the relevant stakeholders in implementation of the Data Privacy policies, procedures and notices across the Bank.
 </li>
 <li>
 Assist the Privacy Champions and IT Application Managers in maintenance of Record of Processing Activities and Data Flow Diagrams (DFDs).
 </li>
 <li>
 Perform Data Privacy Impact Assessment of the bank&rsquo;s business process and IT applications processing personal data of the staff, customers, vendors, etc.
 </li>
 <li>
 Coordinate with relevant stakeholders to ensure all business processes adhere to internal Data Privacy policies and procedures.
 </li>
 <li>
 Coordinate with IT Application owners to ensure all IT Applications containing personal data adhere to internal Data Privacy policies and procedures.
 </li>
 </ul>
 
 
 
 
 
 Educational Qualifications and Experience:
 
 
 
 
 
 <ul>
 <li>
 University graduate with a degree in Computer Science, Computer Engineering, Information Security or any other related discipline.
 </li>
 <li>
 05-08 years of total experience in financial services/banking industry, entailing responsibilities pertaining to the specific area of discipline.
 </li>
 <li>
 Previous experience in Data Privacy /Data Protection or data compliance in financial services industry.
 </li>
 </ul>
</div>

Data Privacy Officer

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