data governance administrator

ai expert for plant data model (pdm project) Jobs in Doha

ai/ml data specialist

data & analytics architect

data analyst (medical background) Jobs in Doha

data analyst (medical background)

data scientist

Codvo.ai

<div><div><div>Data Scientist Consultant (Category &ndash; Senior Engineer)
Sector: Oil and Gas
Department: Digital Transformation
Reporting To: Head of Digital Intelligence
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. 
Job Description
The Data Science Consultant acts as the strategic link between business problem solving and advanced analytics. By applying machine learning and statistical rigor to complex business challenges, this role identifies key opportunities to optimize safety, efficiency, and overall performance.
Key Responsibilities<ul><li>Identify and support analytics and AI use cases aligned with business and conceptualization priorities.</li><li>Engage stakeholders to gather requirements and translate business needs into analytical problem statements.</li><li>Perform exploratory data analysis, statistical modelling, and predictive analytics on structured and unstructured datasets.</li><li>Develop machine learning models and analytical solutions to support forecasting, optimization, and anomaly detection.</li><li>Design dashboards and performance reporting frameworks to support decision-making.</li><li>Conduct impact analysis, ROI estimation, and value tracking for analytics initiatives.</li><li>Collaborate with data engineers and product teams to deploy scalable analytics solutions.</li><li>Present insights and recommendations to both technical teams and business leadership.</li></ul>
Required Skills and Qualifications<ul><li>+6 years of experience in data science, analytics, or business intelligence roles under digital transformation projects.</li><li>Strong proficiency in Python, SQL, and Power BI or similar visualization tools.</li><li>Experience with machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch).</li><li>Strong analytical thinking and structured problem-solving skills.</li><li>Experience in requirements gathering, stakeholder engagement, and business case development.</li><li>Ability to communicate complex analytical findings in clear business terms.</li></ul>
Preferred Qualifications<ul><li>Experience in Oil &amp; Gas, energy, or industrial analytics environments.</li><li>Familiarity with enterprise data platforms such as Azure or Databricks.</li><li>Knowledge of Agile delivery frameworks.</li><li>Certification in Data Analytics, Business Analysis, or Data Science preferred.</li></ul> 
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered</div></div></div>

Data Scientist Consultant (Category – Senior Engineer) - Doha Qatar

Commercial Bank

<div>
 
 About Commercial Bank Of Qatar
 
 
 
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services.
 
 
 We believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 Join us in shaping the future of banking!
 
 
 
 Job Summary
 
 
 
 <ul>
 <li>
 Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems.
 </li>
 <li>
 This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge .
 </li>
 <li>
 The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions.
 </li>
 <li>
 Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value.
 </li>
 <li>
 The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.
 
 
 </li>
 </ul>
 
 
 Key Accountabilities
 
 
 
 
 <ul>
 <li>
 ML Model Development
 </li>
 <li>
 Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures.
 </li>
 <li>
 Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption.
 </li>
 <li>
 Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement.
 </li>
 <li>
 Banking Domain Application
 </li>
 <li>
 Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes.
 </li>
 <li>
 Partner with Risk, Finance, and business units to identify high-value modeling opportunities.
 </li>
 <li>
 Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints.
 </li>
 <li>
 Analysis &amp; Insights
 </li>
 <li>
 Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data.
 </li>
 <li>
 Translate model outputs into actionable business recommendations and insights.
 </li>
 <li>
 Develop model performance metrics aligned with business KPIs and financial outcomes.
 </li>
 <li>
 Create data visualizations and reports for stakeholder communication.
 </li>
 <li>
 Prototyping &amp; Delivery
 </li>
 <li>
 Develop working prototypes in Python demonstrating model functionality and business value.
 </li>
 <li>
 Create clear documentation of model methodology, assumptions, limitations, and use cases.
 </li>
 <li>
 Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems.
 </li>
 <li>
 Stakeholder Collaboration
 </li>
 <li>
 Partner with business stakeholders to understand requirements and validate model outputs.
 </li>
 <li>
 Present model results, methodology, and recommendations to senior management.
 </li>
 <li>
 Contribute to model governance, validation, and documentation requirements.
 </li>
 <li>
 Ensure compliance with data policies, ethical standards, and regulatory requirements.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Machine Learning &amp; Statistics
 </li>
 <li>
 Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering.
 </li>
 <li>
 Deep experience with pricing models, propensity modeling, and recommendation systems.
 </li>
 <li>
 Strong foundation in statistical analysis, hypothesis testing, and experimental design.
 </li>
 <li>
 Familiarity with deep learning frameworks (TensorFlow, PyTorch) for advanced use cases.
 </li>
 <li>
 Banking Domain Expertise
 </li>
 <li>
 Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle.
 </li>
 <li>
 Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks.
 </li>
 <li>
 Understanding of Finance functions including P&amp;L drivers, cost allocation, and profitability analysis.
 </li>
 <li>
 Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.).
 </li>
 <li>
 Technical Skills
 </li>
 <li>
 Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.).
 </li>
 <li>
 SQL &ndash; Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries).
 </li>
 <li>
 Experience with data visualization and reporting tools.
 </li>
 <li>
 Familiarity with Git (GitHub/GitLab) for version control.
 </li>
 <li>
 Basic understanding of Spark for large-scale data processing.
 </li>
 <li>
 Awareness of MLOps practices and model deployment concepts (MLflow, TFX).
 </li>
 <li>
 Communication &amp; Collaboration
 </li>
 <li>
 Ability to translate complex analytical concepts into business language for non-technical stakeholders.
 </li>
 <li>
 Strong presentation skills for executive-level communication.
 </li>
 <li>
 Experience working with cross-functional teams across business and technology.
 </li>
 <li>
 Agile methodologies (Kanban, Scrum) experience.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.
 </li>
 <li>
 8+ years of experience in data science or quantitative analysis roles.
 </li>
 <li>
 Minimum 5 years of experience in banking or financial services industry is mandatory.
 </li>
 <li>
 Proven track record of delivering ML models in pricing, propensity, or recommendation domains.
 </li>
 <li>
 Background in Risk, Finance, or quantitative functions within banking preferred.
 </li>
 <li>
 Experience with model validation, governance, and regulatory requirements in financial services.
 </li>
 <li>
 Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.
 
 
 </li>
 </ul>
 
 
 Why Commercial Bank?
 
 
 
 
 <ul>
 <li>
 Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for Global Partnerships &amp; International Exposure, connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee Well-being &amp; Work-Life Balance, ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 Competitive Compensation &amp; Benefits that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to Diversity, Equity &amp; Inclusion, fostering a culture that values every individual&rsquo;s unique perspective.
 
 
 </li>
 </ul>
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 
 digital transformation
 
 in Qatar&rsquo;s banking sector, blending
 
 digital-first
 
 approach to redefine banking through
 
 innovative
 
 solutions.
 
 
 
 Disclaimer
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
</div>

Senior Data Science Expert

BPO PLUS

We are seeking a detail-oriented Data Analyst with a medical or healthcare background to analyze healthcare data, generate insights, and support data-driven decision-making. The ideal candidate will combine analytical expertise with clinical or medical knowledge to interpret complex healthcare datasets, improve operational efficiency, and support clinical research, patient outcomes, and healthcare performance monitoring.Key Responsibilities<ul><li>Collect, clean, and analyze healthcare datasets from clinical systems, electronic health records (EHR), and operational databases.</li><li>Develop dashboards, reports, and data visualizations to support healthcare management and clinical teams.</li><li>Interpret medical and clinical data to identify trends, patterns, and actionable insights.</li><li>Collaborate with physicians, researchers, and healthcare administrators to understand data requirements.</li><li>Monitor healthcare KPIs such as patient outcomes, treatment effectiveness, and operational efficiency.</li><li>Support clinical research by preparing datasets and performing statistical analysis.</li><li>Ensure compliance with healthcare data privacy regulations and data governance standards.</li><li>Present findings and recommendations to management in a clear and meaningful way.</li><li>Maintain data quality, accuracy, and documentation for all analytical processes.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Medicine, Public Health, Healthcare Management, Health Informatics, Statistics, Data Science, or a related field.</li><li>Medical or clinical background (MBBS, nursing, pharmacy, public health, or related healthcare discipline preferred).</li><li>Proven experience in data analysis within a healthcare or medical environment.</li></ul>Technical Skills<ul><li>Strong knowledge of data analysis tools such as SQL, Excel, Python, R, or SAS.</li><li>Experience with data visualization tools (Power BI, Tableau, or similar).</li><li>Familiarity with Electronic Health Records (EHR) systems and healthcare databases.</li><li>Understanding of healthcare metrics, clinical terminology, and medical datasets.</li><li>Knowledge of statistical analysis methods.</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving skills.</li><li>Ability to translate complex data into clear insights.</li><li>Excellent communication and presentation skills.</li><li>Attention to detail and high level of accuracy.</li><li>Ability to work collaboratively with clinical and non-clinical teams.</li></ul>Preferred Qualifications<ul><li>Experience in clinical research, hospital analytics, or healthcare operations analytics.</li><li>Certification in Data Analytics, Health Informatics, or Biostatistics.</li><li>Experience working with large healthcare datasets or population health data.</li></ul>Job Types: Full-time, Temporary Contract length: 4 monthsPay: QAR16,000.00 - QAR18,000.00 per month

Data Analyst (Medical Background)

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next! 

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible. 
Job Description:
AI/ML Data Specialist
Qatar
Parsons is looking for an talented AI/ML Data Specialist to join our team! In this role you will get to oversee and manage the delivery of AI/ML and advanced analytics solutions within a large-scale Smart City program, ensuring alignment with project objectives, technical standards, and operational requirements.
What You'll Be Doing:<ul><li>
Provide technical oversight of AI/ML solution design and implementation within the Smart City platform.</li><li>
Manage and monitor the performance of the Master System Integrator (MSI) and multiple technology providers.</li><li>
Review and validate AI/ML architectures, models, and deliverables to ensure compliance with project specifications.</li><li>
Advise the Client and project teams on AI/ML applications, system enhancements, and integration strategies.</li><li>
Ensure alignment between AI capabilities, Big Data platforms, and overall Smart City architecture.</li><li>
Monitor data governance, quality, security, and lifecycle management practices.</li><li>
Support business case development, concept validation, and innovation initiatives.</li><li>
Coordinate across multidisciplinary teams to ensure timely and compliant delivery.</li></ul>
What Required Skills You'll Bring:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, AI, or related field (Master&rsquo;s preferred).</li><li>
10 years of professional experience, including 3 years overseeing AI/ML or advanced analytics programs.</li><li>
Strong understanding of machine learning, data analytics, and Big Data architectures.</li><li>
Experience managing system integrators and multi-vendor technology environments.</li><li>
Knowledge of cloud platforms (AWS, Azure, GCP) and Data Lake ecosystems.</li><li>
Strong stakeholder management, reporting, and technical review capabilities.</li><li>
Excellent analytical, communication, and documentation skills.Technical Skills</li><li>
Strong expertise in Machine Learning and Deep Learning algorithms.</li><li>
Proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, scikit-learn).</li><li>
Experience with SQL and Big Data technologies (Hadoop, Spark).</li><li>
Familiarity with real-time data processing frameworks.</li><li>
Strong knowledge of cloud AI/ML services (AWS, Azure, GCP).</li><li>
Experience in Data Lake architecture deployment (cloud, hybrid, on-prem).</li><li>
Proficiency in data visualization tools (Tableau, Power BI).</li><li>
Advanced skills in statistical modeling, data mining, and analytics.</li><li>
Familiarity with Excel, PowerPoint, and technical reporting.</li></ul>
What Desired Skills You'll Bring:<ul><li>
Experience in Smart City, infrastructure, or large-scale government programs.</li><li>
Familiarity with real-time data processing and IoT-integrated systems.</li><li>
Professional certifications in AI/ML, Cloud, or Project Management (PMP/Agile).</li><li>
Strong governance and compliance management experience within PMCM environments.</li></ul>
Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!<div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
 <div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div> 
Financial Wellness</div><div> 
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div> 
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div> 
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div> 
Veteran Support</div><div> 
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div> 
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div> 
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div>

AI/ML Data Specialist

Al Adyat consultancy

Job Profile: AI Expert for Plant Data Model (PDM Project)Job SummaryWe are seeking a highly skilled AI Expert to design, build, and operationalize AI/ML solutions that deliver measurable business outcomes. The ideal candidate combines deep machine learning expertise with strong software engineering practices, MLOps proficiency, and stakeholder collaboration. This role will lead end-to-end projects&mdash;from problem framing and data acquisition to model development, deployment, monitoring, and continuous improvement&mdash;while ensuring compliance with security, privacy, and governance policies.Key Responsibilities&middot; Partner with business stakeholders to translate strategic objectives into AI use cases with clear KPIs and ROI.&middot; Own the full ML lifecycle: data sourcing, feature engineering, model selection, training, evaluation, and production deployment.&middot; Implement robust MLOps: CI/CD for ML, model registry, automated testing, reproducible pipelines, and monitoring (drift, performance, fairness).&middot; Design scalable data/feature pipelines using best practices for data quality, lineage, and governance.&middot; Develop models across domains (e.g., predictive analytics, time series, NLP, computer vision, recommender systems).&middot; Optimize models for efficiency and cost across CPU/GPU, leveraging quantization, distillation, or serving optimizations.&middot; Deploy and maintain models on cloud and on-prem platforms; orchestrate with containers and microservices (Docker/Kubernetes).&middot; Establish and enforce responsible AI practices: privacy-preserving methods, bias detection/mitigation, explainability, and secure handling of data.&middot; Produce high-quality documentation: design docs, runbooks, experiment logs, and user guides; present results to technical and non-technical audiences.&middot; Mentor engineers and analysts; contribute to standards, templates, and reusable components within the AI platform.Minimum Qualifications&middot; Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, or related field (or equivalent experience).&middot; 5+ years building and deploying ML models in production environments.&middot; Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).&middot; Hands-on experience with data processing frameworks (e.g., Pandas, Spark), SQL/NoSQL databases, and feature stores.&middot; Proficiency in MLOps tooling (e.g., MLflow, DVC, Kubeflow, Airflow) and CI/CD for ML.&middot; Experience deploying to cloud platforms (e.g., Azure Machine Learning, AWS SageMaker, GCP Vertex AI) and container orchestration (Docker/Kubernetes).&middot; Solid understanding of statistics, experiment design (A/B testing), and model validation techniques.&middot; Excellent communication and stakeholder management skills; ability to articulate complex concepts clearly.Preferred Qualifications&middot; Master&rsquo;s or PhD in a quantitative field.&middot; Experience with NLP (transformers, LLMs, RAG) and computer vision (CNNs, detection/segmentation).&middot; Exposure to time-series forecasting, optimization, and reinforcement learning for industrial use cases.&middot; Experience with Azure ecosystem (Azure ML, Databricks, Data Factory, Synapse) and enterprise integration patterns.&middot; Familiarity with privacy-preserving techniques (differential privacy, federated learning) and model interpretability (SHAP, LIME).&middot; Track record of delivering AI solutions in manufacturing, energy, or operations (e.g., predictive maintenance, process optimization).Technical Stack &amp; Tools&middot; Languages: Python (preferred), SQL; familiarity with C++/Java is a plus.&middot; ML/AI: scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face; experiment tracking (MLflow).&middot; Data: Pandas, Spark, Delta/Parquet; data versioning (DVC); feature stores.&middot; Pipelines &amp; Orchestration: Airflow, Prefect, Kubeflow; Docker/Kubernetes for serving.&middot; Monitoring &amp; Observability: Prometheus/Grafana; model drift/performance monitoring tools.&middot; DevOps: Git, GitHub/GitLab, CI/CD, testing frameworks (pytest).&middot; Cloud: Azure (preferred), AWS, GCP; serverless and managed ML services.Core Competencies &amp; Soft Skills&middot; Business acumen with the ability to prioritize use cases based on value and feasibility.&middot; Structured problem solving and hypothesis-driven experimentation.&middot; Clear written and verbal communication, storytelling with data, and visualization skills.&middot; Collaboration and mentorship across cross-functional teams (engineering, operations, compliance).&middot; Ownership mindset with a focus on reliability, safety, and continuous improvement.AI Governance, Security &amp; Compliance&middot; Adhere to corporate data governance policies, security standards, and regulatory requirements (e.g., GDPR where applicable).&middot; Implement role-based access controls, encryption, secure secrets management, and audit trails across the ML stack.&middot; Ensure models meet fairness, transparency, and explainability guidelines; conduct regular risk assessments and reviews.Success Criteria &amp; KPIs&middot; Cycle time from ideation to production (weeks).&middot; Model performance against business KPIs (e.g., accuracy, precision/recall, uplift, cost savings).&middot; Operational reliability (SLA adherence, downtime, incident rate).&middot; Adoption and user satisfaction for AI-enabled products and workflows.Compliance metrics (governance checks passed, audits completed).Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Expert for Plant Data Model (PDM Project) : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Data Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

AI Expert for Plant Data Model (PDM Project)

Confidential

<div>
 
 The Tax Compliance Risk Data &amp; Modelling Expert oversees end-to-end processing of tax data assets, analyzes cross-system tax information, and develops analytical and predictive models to support compliance risk assessment and strategic decision-making. The role coordinates with IT on analytical tools, reviews international and exchanged tax data, and advises on data governance practices to ensure quality, consistency, and secure access for Tax departments.
 
 
 
 Tax Data Assets &amp; Governance
 
 
 <ul>
 <li>
 Oversee the end-to-end cycle of tax data, including acquisition from internal and external systems, validation, cleansing, storage, and evaluation.
 </li>
 <li>
 Develop and Monitor data governance practices to Ensure tax data quality, consistency, security, and controlled access, including maintenance of central data dictionaries and metadata.
 </li>
 </ul>
 
 
 Risk Data Analysis &amp; Modelling
 
 
 <ul>
 <li>
 Analyze tax data using statistical and exploratory techniques to Identify patterns relevant to compliance risk and operational performance.
 </li>
 <li>
 Develop and Review predictive and analytical models that Support risk-based assessment, audit targeting, and monitoring of tax gaps.
 </li>
 </ul>
 
 
 Dashboards, Analytics &amp; Strategic Insights
 
 
 <ul>
 <li>
 Develop advanced dashboards and analytical views to Support operational monitoring and strategic planning across TAX Authority.
 </li>
 <li>
 Prepare structured analytical outputs and reports for senior management, including key indicators, trends, and sectoral insights.
 </li>
 </ul>
 
 
 Stakeholder Engagement &amp; Requirements
 
 
 <ul>
 <li>
 Coordinate regular meetings with relevant departments to Assess data and analytics needs, Identify gaps, and Align data sources and structures with operational requirements.
 </li>
 <li>
 Prepare and Review lists of missing or incomplete tax data needed to Support official tasks and risk analysis.
 </li>
 </ul>
 
 
 Tools, Systems &amp; International Data
 
 
 <ul>
 <li>
 Coordinate with IT to Develop and Enhance analytical tools, including predictive analytics and automated reporting systems that Support tax risk evaluation and decision-making.
 </li>
 <li>
 Analyze data received through tax information exchange mechanisms and Evaluate its relevance for risk analysis and compliance activities.
 </li>
 </ul>
 
 
 Support to Internal &amp; External Requests
 
 
 <ul>
 <li>
 Advise regulatory and operational units on the use of data and analytical outputs in urgent or high-priority cases requiring rapid information.
 </li>
 </ul>
 
 Review and Prepare analytical inputs for requests from International Cooperation department related to tax data, in line with applicable frameworks.
 
 
 
 Preferred Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Economics, Computer Science, or related field.
 </li>
 <li>
 Master&rsquo;s degree in a related field is preferred.
 </li>
 </ul>
 
 Relevant professional certifications are an advantage.
 
 <ul>
 <li>
 16+ years of relevant experience in data analytics, statistical modelling, or risk analytics in tax administration, government, or a related financial/compliance environment.
 </li>
 </ul>
 
 Demonstrated knowledge of tax data structures, analytical tools, and data governance concepts.
 
 <ul>
 <li>
 Strong data analysis and modelling skills using analytical and BI tools.
 </li>
 <li>
 Ability to translate complex data into clear insights and decision-support outputs.
 </li>
 <li>
 Effective coordination and communication with technical and non-technical stakeholders.
 </li>
 </ul>
 
 Attention to data quality, structure, and security.
 
</div>

Risk Data & Modelling Expert

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 We look for experienced engineer for position of dedicated DE for ML team. Main responsibilities will include creating end extending existing feature marts and realtime marts, including investigation of feature drift and performance optimizations. What we also consider as important is having enough skills to take responsibility for full ML-DE interaction, including new pipelines creation in existing DE infrastructure. Main tools used for feature engineering are Dbt, BigQuery, Databricks and Spark structured streaming, having AWS streaming services and infrastructure as a code for DE part. Our workflow emphasizes adaptability, collaboration, with a focus on driving changes in company wide metrics - and you`ll be able to see the impact of your work on the business and customer experience.
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 <ul>
 <li>
 Feature engineering - support and creating feature marts for ML team, including tests and validation
 </li>
 <li>
 Realtime Feature engineering - creating realtime pipelines, extending realtime feature store with new features
 </li>
 <li>
 Integrating new sources into existing data pipelines for ML needs, ensuring data quality and consistency
 </li>
 <li>
 Monitor and automate ML pipelines processes, including data drift, pipelines performance, alerting
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 Experience in several programming languages or Python frameworks
 </li>
 <li>
 PySpark knowledge i.e. Spark structured streaming, data distribution, optimizations
 </li>
 <li>
 Strong SQL skills, ability to apply subqueries, window functions, CTEs, math specific database functions
 </li>
 <li>
 Experience with modern ETL processes, collection, ingestion, storage, cleaning, transformation, analysis of data
 </li>
 <li>
 Software design skills - software patterns, application, data system design
 </li>
 <li>
 Math statistics knowhelege, i.e. stdev, quartiles, ability to apply them for drift or outlier detection
 </li>
 <li>
 Infrastructure as a code is a plus
 </li>
 <li>
 Experience with databricks as a plus
 
 
 </li>
 </ul>
 
 Our Stack
 
 
 
 <ul>
 <li>
 GCP platform
 </li>
 <li>
 BigQuery
 </li>
 <li>
 Dbt
 </li>
 <li>
 Databricks
 </li>
 <li>
 Spark structured streaming
 </li>
 <li>
 AWS message brokers
 </li>
 <li>
 Tableau, Redash
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, ride-hailing, and shopping - all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed:
 
 &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 🏅
 
 Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results:
 
 &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Global Vibes &ndash;
 
 Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters &ndash;
 
 Learning budgets, access to courses, and tools for your growth.
 
 
 
 🚒 Builder&rsquo;s Playground &ndash;
 
 Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off &ndash;
 
 We take recharging seriously. Generous leave and wellness policies.
 
 
 
 🛠️ Agile Everything &ndash;
 
 Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build app. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a tech team where your code sparks change, your voice is heard, and your growth is guaranteed. Let&rsquo;s make some tech magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
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ML Data Engineer Senior

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