111 Microsoft Certified Data Analyst Associate jobs in Qatar

The Data Scientist focuses on developing algorithms, data analysis, and insights to drive business innovation and efficiency. This role involves working with large datasets, developing predictive models, and collaborating with cross-functional teams to deliver data-driven solutions.

1. Develop and implement data science projects, including the design and development of algorithms and models.
2. Collaborate with stakeholders to understand business requirements and translate them into data science solutions.
3. Analyze large datasets to extract insights, identify trends, and support decision-making.
4. Develop and validate predictive models, machine learning algorithms, and statistical analyses.
5. Ensure the accuracy, quality, and relevance of data science outputs.
6. Stay updated with the latest advancements in data science and machine learning, applying them to enhance solutions.
7. Provide support and guidance to other team members as needed.
8. Ensure compliance with data governance, security, and regulatory standards in all data science activities.
9. Prepare and present data science reports and documentation to senior management and stakeholders.
10. Participate in project planning and contribute to the development of project timelines and deliverables.
11. Perform other duties relevant to the job as assigned by the Sr. Data Scientist or senior management.

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• Relevant certifications (e.g., Certified Data Scientist, Google Cloud Professional Data Engineer) are preferred.
• Minimum of 3 years of experience in data science or related fields.
• Experience in developing and implementing data science solutions for AI or technology-focused products.
• Strong programming skills in languages such as Python, R, or SQL.
• Proficiency in data science tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Attention to detail and commitment to quality.
• In-depth understanding of data science principles, machine learning algorithms, and statistical analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Strong attention to detail and commitment to delivering high-quality work.
• Ability to work independently and as part of a team.

SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies.
• Develop and implement predictive models and machine learning algorithms to solve complex business problems.
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs.
• Design and conduct experiments to test hypotheses and validate results.
• Communicate findings and recommendations to stakeholders through presentations and reports.
• Continuously monitor and improve model performance through regular updates and refinements.
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work.
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting.
• Work with data engineering teams to ensure data is collected and stored effectively for analysis.

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist or in a similar analytical role.
• Strong programming skills in Python, R, or similar languages.
• Proficiency in SQL and experience with relational and non-relational databases.
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results.
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios.
• Excellent analytical and problem-solving skills.
• Strong communication skills, both verbal and written, in English and Arabic.

• Certified Data Scientist (CDS).
• Microsoft Certified: Azure Data Scientist Associate.
• Google Cloud Professional Data Engineer.
• SAS Certified Data Scientist.

Databorn is a leading consulting firm that specialises in machine learning, marketing technology, and data management. Our team of over 350+ professionals worldwide is dedicated to delivering best-in-class solutions to large corporations in the financial, telco, oil & gas and retail industries. We leverage advanced analytics and big data to supercharge our clients' digital transformation and fuel their growth.

With offices in the UAE, KSA Databorn is a trusted partner for dozens of clients across the globe. Our expertise and experience enable us to implement solutions that drive business success and deliver measurable results. Whether you need help with data management, marketing technology, or machine learning, Databorn has the knowledge and skills to help you achieve your goals.

Our clients are major companies in the business and government sectors (main projects include fintech, retail, manufacturing, FMCG).

Benefits You’ll Love

• Dedicated mentor
• Databorn and Partner vendor's training and certification opportunities
• Annual performance bonuses
• Annual performance review process
• Projects with the latest technologies and methodologies

We are seeking a skilled Data Scientist for our on-site projects in Qatar with a strong background in statistics and machine learning to solve complex business problems. The ideal candidate will work closely with stakeholders to translate business challenges into data-driven solutions, develop and deploy predictive models, and ensure successful project delivery and customer satisfaction.

Please note: This is a full-time, on-site position based in Qatar within the Fintech business area.
Being physically present in the office in Qatar is mandatory.

We offer relocation assistance (preferable option) or extended business trips totaling no less than 9 months per calendar year .

If you are open to considering this opportunity, we would be happy to discuss it further!

What You’ll Do And What You’ll Need

Your Responsibilities

• Business Problem Solving

• Business Problem Solving

• Model Development Deployment

• Project Delivery Documentation

• Customer Relationship Management

• Support Sales Project Growth

Experience & Skills We Are Looking For

Required

• Big Data Ecosystem: Hadoop
• Data Analysis: MS Excel for reporting and exploratory analysis
• Readiness to expanded business trips or Relocation to Qatar .
• Proficiency in English.
• Experience working with banking data, transactional data, or customer analytics
• Proficiency in Arabic

Leave your resume, and we will contact you

Job Description
We are currently looking Data Scientist for our Qatar operations with the following terms & conditions.

Core Responsibilities:

Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.

Perform data pre-processing, feature engineering, and model selection independently.

Build and maintain automated model pipelines including training, validation, scoring and monitoring.

Implement model drift detection, retraining logic, and performance diagnostics.

Conduct code-based model explainability (eg. SHAP, LIME), support documentation for governance review.

Expertise Required

Advanced proficiency in Python (Pandas, NumPy, Scikit-leam, XGBoost, LightGBM)

Strong command of SQL arid handling large datasets (via warehouse or lake)

Experience deploying models using MLflow, Airflow, Docker, or similar tools

Familiarity with model performance metrics (ROC AUC, F1, lift/gain, etc.)

Hands-on in training and evaluating models for binary classification, multi-class, regression, or time series

Exposure to deep learning (PyTorch or Tensorflow) for advanced use cases

Joining time frame: 2 weeks (maximum 1 month)

Nair Systems is currently looking Data Scientist for our Qatar operations with the following terms & conditions.

Core Responsibilities:

Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.

Perform data pre-processing, feature engineering, and model selection independently.

Build and maintain automated model pipelines including training, validation, scoring and monitoring.

Implement model drift detection, retraining logic, and performance diagnostics.

Conduct code-based model explainability (eg. SHAP, LIME), support documentation for governance review.

Expertise Required

Advanced proficiency in Python (Pandas, NumPy, Scikit-leam, XGBoost, LightGBM)

Strong command of SQL arid handling large datasets (via warehouse or lake)

Experience deploying models using MLflow, Airflow, Docker, or similar tools

Familiarity with model performance metrics (ROC AUC, F1, lift/gain, etc.)

Hands-on in training and evaluating models for binary classification, multi-class, regression, or time series

Exposure to deep learning (PyTorch or Tensorflow) for advanced use cases

Working knowledge of embeddings, vector stores, or text-based models

Git-based versioning and reproducible ML workflow setup

Joining time frame: 2 weeks (maximum 1 month)

Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest

Company Description
Job Description

We are
currently looking
Data Scientist
for our
Qatar
operations with the following terms & conditions.

Core Responsibilities:

• Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.
• Perform data pre-processing, feature engineering, and model selection independently.
• Build and maintain automated model pipelines including training, validation, scoring and monitoring.
• Implement model drift detection, retraining logic, and performance diagnostics.
• Conduct code-based model explainability (eg. SHAP, LIME), support documentation for governance review.

Expertise Required

• Advanced proficiency in Python (Pandas, NumPy, Scikit-leam, XGBoost, LightGBM)
• Strong command of SQL arid handling large datasets (via warehouse or lake)
• Experience deploying models using MLflow, Airflow, Docker, or similar tools
• Familiarity with model performance metrics (ROC AUC, F1, lift/gain, etc.)
• Hands-on in training and evaluating models for binary classification, multi-class, regression, or time series
• Exposure to deep learning (PyTorch or Tensorflow) for advanced use cases
• Working knowledge of embeddings, vector stores, or text-based models
• Git-based versioning and reproducible ML workflow setup

Joining time frame:
2 weeks (maximum 1 month)

Additional Information

Terms and conditions:
Joining time frame:
maximum 4 weeks

Job Description: Data Scientist - Advanced Analytics & Network Insights

Position Requirements:

• Strong expertise in analytics solutions, including data collection, preprocessing, model development, and deployment.
• Proficient in machine learning techniques and algorithms (e.g., Naive Bayes, SVM, Decision Forests, Bagging & Boosting Models).
• Strong understanding of feature scaling, dimensionality reduction, and data compression techniques.
• Expertise in Python, PySpark, R, and libraries such as Scikit-learn, NumPy, TensorFlow.
• 5+ years of experience in deploying scalable machine learning systems, with 4+ years in NLP or text analytics development.
• Proficient in SQL, Hadoop, Spark, and data storage frameworks.
• Skilled in designing and deploying auto big data pipelines for production environments.
• Experienced in developing ETL (Extract, Transform, Load) workflows for seamless data integration.
• Expertise in building interactive dashboards and reports using Tableau and other visualization tools.
• Experience with agile methodologies, data-driven development, and reliable experimentation.
• Knowledge of machine learning publications or contributions to open-source projects is a plus.

Role & Responsibilities:

• Lead the development and optimization of machine learning models, including recommendation and personalization systems.
• Develop end-to-end analytics solutions, from data preprocessing to machine learning model deployment.
• Build and optimize big data pipelines, ensuring scalability and efficiency in production environments.
• Conduct data mining and implement advanced classifiers to enhance customer experiences and business performance.
• Process and analyze large datasets using big data tools like Spark and Hive.
• Process, cleanse, and validate data for analysis, ensuring accuracy and integrity.
• Extend existing data with third-party sources as needed for enriched analysis.
• Perform ad-hoc analyses and present actionable insights clearly to stakeholders.
• Collaborate with cross-functional teams to deliver tailored solutions aligned with business objectives.