26 Data Scientist jobs in Doha

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.

Requirements:

• 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.

Preferable Certificates:

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

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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. Responsibilities and Duties

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

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.

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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. Requirements:

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. Preferable Certificates:

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

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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 Position Summary 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 f ull-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

t han 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 - Collaborate with stakeholders to define and formalize analytics requirements. - Translate business challenges into data workflows and structures. - Apply statistics and machine learning to solve real-world problems. - Utilize analytics tools including Python and Hadoop ecosystem. Model Development Deployment - Prepare data through preprocessing, analysis, and visualization. - Build, train, and evaluate machine learning models (supervised, unsupervised, time series). - Conduct A/B testing to validate model impact. - Develop production-ready code covering full model lifecycle and deployment. Project Delivery Documentation - Participate in acceptance testing and ensure solution quality. - Produce clear documentation for knowledge transfer and maintenance. Customer Relationship Management - Maintain positive customer relationships and ensure satisfaction. - Resolve issues proactively and communicate openly. - Engage customers with domain expertise and gather feedback to prevent escalations. Support Sales Project Growth - Evaluate additional work requests and justify project value. - Assist in qualifying and assessing change requests. 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 We offer a competitive salary and commission package, as well as opportunities for growth and advancement within the company.

If you have a passion for turning data into actionable insights and enjoy working closely with customers to solve challenging problems, we would love to hear from you! Leave your resume, and we will contact you

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The Sr. Data Scientist supports the development and implementation of data science projects, including the design and development of algorithms and models. This role involves analyzing large datasets, extracting insights, and collaborating with cross-functional teams to deliver high-quality data science solutions.

Responsibilities and Duties

• Support the development and implementation of data science projects, including the design and development of algorithms and models.
• Collaborate with stakeholders to understand business requirements and translate them into data science solutions.
• Analyze large datasets to extract insights, identify trends, and support decision-making.
• Develop and validate predictive models, machine learning algorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevance of data science outputs.
• Stay updated with the latest advancements in data science and machine learning, applying them to enhance solutions.
• Mentor and provide guidance to junior data scientists and other team members.
• Ensure compliance with data governance, security, and regulatory standards in all data science activities.
• Prepare and present data science reports and documentation to senior management and stakeholders.
• Participate in project planning and contribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by the Principal Data Scientist or senior management.

Requirements

• 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 5 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, 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

#J-18808-Ljbffr

Overview

Master’s degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering.

Qualifications

• Minimum 6 years of experience in Data Science: Proven track record of developing and implementing machine learning models, advanced analytics solutions, and data-driven decision-making strategies.


• Industry Expertise: Experience working in the oil and gas industry, with a strong understanding of its challenges, processes, and data types (e.g., seismic data, production data, reservoir data).


• GenAI Expertise: Hands-on experience with Generative AI technologies, including building PoCs / solutions using large language models or other generative frameworks.


• Programming Languages: Proficiency in Python is required. Additional experience in Spark is a plus.


• Data Manipulation Tools: Good experience with SQL, Pandas, and other data processing tools.


• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries.


• Cloud Platforms: Hands-on experience with cloud services such as Microsoft Azure including their AI and data services is a plus.


• Visualization Tools: Proficiency in Power BI, or similar visualization platforms.


• Big Data Technologies: Familiarity with Hadoop, Spark, or Databricks is an advantage.


• Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics.


• Problem-Solving: Proven ability to translate complex business problems into actionable data science solutions.


• Collaboration: Strong track record of cross-functional collaboration, effectively communicating technical concepts, from foundational principles to advanced methodologies to diverse stakeholder audiences.


• Strong stakeholder management: Setting clear expectations, fostering trust through transparent communication, and applying empathy to build lasting, collaborative relationships.

#J-18808-Ljbffr

We are Qatar Insurance Company (QIC), the leading insurance provider in GCC. With a history dating back to 1964, we have established ourselves as a pioneer in the insurance industry, offering innovative solutions to meet the diverse needs of individuals and businesses. Our vision is to make QIC group become the first Digital Ecosystem in the region by combining insurance and non-insurance services in one platform. Through our digital platforms, such as qic.online and the QIC app, we empower customers to manage their needs anytime and anywhere. Our employees have been featured in Forbes 30 under 30, teach at online universities, serve on program committees of major IT conferences, and have previously worked at Yandex, Tinkoff, Avito, Ozon, and other leading tech companies. About the position

As a Senior Data Scientist, you will be at the forefront of our ML journey – building powerful, scalable models that target fraud, reduce losses, and drive revenue through smart recommendation systems. Your work directly influences key business outcomes and paves the way for our evolving AI capabilities. Responsibilities

Research and Model Development Analyze business tasks and formulate ML problem statements together with product teams Exploratory Data Analysis: exploring insurance data, identifying patterns and insights Feature Engineering: creating features from raw data (transactions, policies, claims, behavioral data) Model Prototyping: rapid validation of hypotheses and MVP solutions A/B Testing: designing experiments to validate ML solutions Production Development Model deployment to production: from Jupyter notebook to production API ML pipeline setup: automation of training, validation, and deployment Real-time inference: integrating models into business processes (underwriting, claims processing) Performance optimization: accelerating inference, scaling workloads Requirements

Technical Skills Background with financial/insurance data is an advantage 5+ years of experience in ML/DS with a focus on product development Programming languages: Python (advanced level), SQL ML stack: scikit-learn, XGBoost, LightGBM, CatBoost, pandas, numpy Deep Learning: TensorFlow or PyTorch for NLP and recommendation systems MLOps: experience deploying models into production (Docker, CI/CD, monitoring) Big Data: PySpark or similar tools for large-scale datasets Git and collaborative development Feature Engineering: creating and selecting features for various types of data Model Validation: cross-validation, A/B testing, quality metrics Statistics: probability theory, hypothesis testing, confidence intervals Working with imbalanced data (critical for anti-fraud tasks) Time Series Analysis: forecasting and trend analysis Model interpretability: SHAP, LIME to explain results to business stakeholders We offer

Long-term service agreement contract with QIC with 3 months probation period We are diverse — our digital nomads work remotely from 20+ different countries Payment in US dollars monthly to your bank account using SWIFT Full-time remote, work schedule: 5 days per week, Sunday to Thursday, GMT +3 timezone Vacation policy: Qatar Holiday Calendar, 20 vacation days, 10 sick offs, and 3 mental health days Performance reviews are conducted twice a year, with the possibility of a raise Potential opportunity to apply for a Qatar ID and relocation to Doha, Qatar Quality healthcare, wherever you are in the world—with up to $1,500 in dental coverage included. Language classes

Master communication. Learn English, Arabic—or any second language of your choice. Mental health support

Wellbeing isn’t optional. Get access to services like Yasno—with 70% covered—and recharge with 3 extra Mental Health Days each year. Tax consultations

We’ll guide you through the complexity of local and international tax rules. Your growth is our shared goal. We’ll support it with $600/year for additional courses, plus internal workshops. QIC running club

Join our Strava club for weekly motivation, coaching, and marathon support. USD, EUR, or AED salary payouts

Get paid in USD, EUR, or AED—whichever fits your setup best. Extra paid leave

Enjoy generous vacation time, paid sick leave, and bonus days for years of service. Technologieswe work with

We are open to working with new stacks and technologies that can help us build the best solutions on the market

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The Sr. Data Scientist supports the development and implementation of data science projects, including the design and development of algorithms and models. This role involves analyzing large datasets, extracting insights, and collaborating with cross-functional teams to deliver high-quality data science solutions. Responsibilities and Duties

Support the development and implementation of data science projects, including the design and development of algorithms and models. Collaborate with stakeholders to understand business requirements and translate them into data science solutions. Analyze large datasets to extract insights, identify trends, and support decision-making. Develop and validate predictive models, machine learning algorithms, and statistical analyses. Ensure the accuracy, quality, and relevance of data science outputs. Stay updated with the latest advancements in data science and machine learning, applying them to enhance solutions. Mentor and provide guidance to junior data scientists and other team members. Ensure compliance with data governance, security, and regulatory standards in all data science activities. Prepare and present data science reports and documentation to senior management and stakeholders. Participate in project planning and contribute to the development of project timelines and deliverables. Perform other duties relevant to the job as assigned by the Principal Data Scientist or senior management. Requirements

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 5 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, 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

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Overview

Master’s degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering. Qualifications

Minimum 6 years of experience in Data Science: Proven track record of developing and implementing machine learning models, advanced analytics solutions, and data-driven decision-making strategies. Industry Expertise: Experience working in the oil and gas industry, with a strong understanding of its challenges, processes, and data types (e.g., seismic data, production data, reservoir data). GenAI Expertise: Hands-on experience with Generative AI technologies, including building PoCs / solutions using large language models or other generative frameworks. Programming Languages: Proficiency in Python is required. Additional experience in Spark is a plus. Data Manipulation Tools: Good experience with SQL, Pandas, and other data processing tools. Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Cloud Platforms: Hands-on experience with cloud services such as Microsoft Azure including their AI and data services is a plus. Visualization Tools: Proficiency in Power BI, or similar visualization platforms. Big Data Technologies: Familiarity with Hadoop, Spark, or Databricks is an advantage. Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics. Problem-Solving: Proven ability to translate complex business problems into actionable data science solutions. Collaboration: Strong track record of cross-functional collaboration, effectively communicating technical concepts, from foundational principles to advanced methodologies to diverse stakeholder audiences. Strong stakeholder management: Setting clear expectations, fostering trust through transparent communication, and applying empathy to build lasting, collaborative relationships.

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