45 Natural Language Processing jobs in the United Arab Emirates

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our solutions enable seamless integration of reserve-backed tokens across blockchains, empowering businesses worldwide. Transparency and trust are at the core of everything we do.

Innovate with Tether

Tether Finance: Our product suite features the trusted stablecoin USDT and digital asset tokenization services.

Tether Power: We promote sustainable Bitcoin mining using eco-friendly practices.

Tether Data: We develop AI and P2P solutions like KEET for secure data sharing.

Tether Education: We democratize digital learning to empower individuals globally.

Tether Evolution: We push technological boundaries to merge innovation with human potential.

Why Join Us?

Our remote, global team is passionate about fintech innovation. If you have excellent English skills and want to contribute to a leading platform, Tether is your place.

Are you ready to be part of the future?

About the job:

As part of our AI model team, you will develop evaluation frameworks for AI models across their lifecycle, focusing on metrics like accuracy, latency, and robustness. You will work on models from resource-efficient to multi-modal architectures, collaborating with cross-functional teams to implement evaluation pipelines and dashboards, setting industry standards for AI model quality.

Responsibilities:

• Develop and deploy evaluation frameworks assessing models during pre-training, post-training, and inference, tracking KPIs such as accuracy, latency, and memory usage.
• Curate datasets and design benchmarks to measure model robustness and improvements.
• Collaborate with product, engineering, and operations teams to align evaluation metrics with business goals, presenting findings via dashboards and reports.
• Analyze evaluation data to identify bottlenecks, proposing optimizations for performance and resource efficiency.
• Conduct experiments to refine evaluation methodologies, staying updated with emerging techniques to enhance model reliability.

Minimum requirements:

• A degree in Computer Science or related field; PhD in NLP, Machine Learning, or similar is preferred, with a strong R&D record.
• Experience designing and evaluating AI models at various stages, proficient in evaluation frameworks assessing accuracy, convergence, and robustness.
• Strong programming skills and experience building scalable evaluation pipelines, familiar with performance metrics like latency, throughput, and memory footprint.
• Ability to conduct iterative experiments, staying current with new techniques to improve benchmarking practices.
• Experience working with cross-functional teams, translating technical insights into actionable recommendations.

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing.

Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job:

As a member of the AI model team, you will drive innovation in supervised fine-tuning methodologies for advanced models. Your work will refine pre-trained models so that they deliver enhanced intelligence, optimized performance, and domain-specific capabilities designed for real-world challenges. You will work on a wide spectrum of systems, ranging from streamlined, resource-efficient models that run on limited hardware to complex multi-modal architectures that integrate data such as text, images, and audio.

We expect you to have deep expertise in large language model architectures and substantial experience in fine-tuning optimization. You will adopt a hands-on, research-driven approach to developing, testing, and implementing new fine-tuning techniques and algorithms. Your responsibilities include curating specialized data, strengthening baseline performance, and identifying as well as resolving bottlenecks in the fine-tuning process. The goal is to unlock superior domain-adapted AI performance and push the limits of what these models can achieve.

Responsibilities :

• Develop and implement new state-of-the-art and novel fine-tuning methodologies for pre-trained models with clear performance targets.

• Build, run, and monitor controlled fine-tuning experiments while tracking key performance indicators. Document iterative results and compare against benchmark datasets.

• Identify and process high-quality datasets tailored to specific domains. Set measurable criteria to ensure that data curation positively impacts model performance in fine-tuning tasks.

• Systematically debug and optimize the fine-tuning process by analyzing computational and model performance metrics.

• Collaborate with cross-functional teams to deploy fine-tuned models into production pipelines. Define clear success metrics and ensure continuous monitoring for improvements and domain adaptation.

• A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).

• Hands-on experience with large-scale fine-tuning experiments, where your contributions have led to measurable improvements in domain-specific model performance.

• Deep understanding of advanced fine-tuning methodologies, including state-of-the-art modifications for transformer architectures as well as alternative approaches. Your expertise should emphasize techniques that enhance model intelligence, efficiency, and scalability within fine-tuning workflows.

• Strong expertise in PyTorch and Hugging Face libraries with practical experience in developing fine-tuning pipelines, continuously adapting models to new data, and deploying these refined models in production on target platforms.

• Demonstrated ability to apply empirical research to overcome fine-tuning bottlenecks. You should be comfortable designing evaluation frameworks and iterating on algorithmic improvements to continuously push the boundaries of fine-tuned AI performance.

Overview

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing.

Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job:

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in LLM architectures, a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance.

• Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.

• Design, prototype, and scale innovative architectures to enhance model intelligence.

• Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.

• Investigate, debug, and improve both model efficiency and computational performance.

• Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.

• A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).

• Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.

• Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.

• Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.

• Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our solutions enable seamless integration of reserve-backed tokens across blockchains, empowering businesses worldwide. Transparency and security are at the core of our mission to build trust in digital transactions.

Innovate with Tether

Tether Finance: Home of the trusted stablecoin USDT and innovative digital asset tokenization services.

Tether Power: Eco-friendly energy solutions for Bitcoin mining, utilizing sustainable practices across diverse locations.

Tether Data: Advancing AI and peer-to-peer tech with solutions like KEET for secure data sharing.

Tether Education: Providing accessible digital learning to empower individuals in the digital economy.

Tether Evolution: Pushing technological boundaries to merge human potential with innovation.

Why Join Us?

Our remote, global team is passionate about fintech innovation. Join us to work alongside top talent, influence industry standards, and grow with a fast-paced, industry-leading company.

If you excel in English communication and are eager to contribute to cutting-edge platforms, Tether is your next career move.

About the job:

As part of our AI model team, you will innovate in model serving and inference architectures for advanced AI systems, focusing on optimizing deployment strategies for responsiveness, efficiency, and scalability across various hardware environments, including resource-constrained devices and complex multi-modal systems.

Your role involves developing, testing, and deploying robust inference pipelines, establishing performance metrics, and troubleshooting bottlenecks to ensure high-throughput, low-latency AI performance in real-world applications.

Responsibilities :

• Design and deploy high-performance model serving architectures optimized for diverse environments, including edge devices.
• Set and track performance targets such as latency reduction, token response improvements, and memory minimization.
• Conduct inference testing in simulated and live environments, monitoring key metrics and documenting results for continuous improvement.
• Prepare high-quality datasets and scenarios for real-world deployment challenges, especially on low-resource devices.
• Analyze and address bottlenecks in serving pipelines to enhance scalability and reliability.
• Collaborate with teams to integrate optimized inference frameworks into production, ensuring continuous monitoring and improvement.

Minimum requirements:

• Degree in Computer Science or related field; PhD preferred, with a strong record in AI R&D.
• Proven experience in kernel and inference optimization on mobile devices, demonstrating measurable performance improvements.
• Deep understanding of modern model serving architectures and optimization techniques for resource-constrained environments.
• Expertise in CPU and GPU kernel development for mobile platforms and experience deploying inference pipelines.
• Ability to translate empirical research into practical optimizations, with skills in evaluation frameworks and iterative improvement.

Overview

Join Tether and shape the future of digital finance. At Tether, we’re pioneering a global financial revolution. Our solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job:

We are looking for an experienced AI Model Engineer with deep expertise in kernel development, model optimization, fine-tuning, and GPU acceleration. The engineer will extend the inference framework to support inference and fine-tuning for language models with a strong focus on mobile and integrated GPU acceleration (Vulkan).

This role requires hands-on experience with quantization techniques, LoRA architectures, Vulkan backend, and mobile GPU debugging. You will play a critical role in pushing the boundaries of desktop and on-device inference and fine-tuning performance for next-generation SLM/LLMs.

• Implement and optimize custom inference and fine-tuning kernels for small and large language models across multiple hardware backends.
• Implement and optimize full and LoRA fine-tuning for small and large language models across multiple hardware backends.
• Design and extend datatype and precision support (int, float, mixed precision, ternary QTypes, etc.).
• Design, customize, and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.
• Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.
• Architect and prepare support for advanced quantization techniques to improve efficiency and memory usage.
• Debug and optimize GPU operators (e.g., int8, fp16, fp4, ternary).
• Integrate and validate quantization workflows for training and inference.
• Conduct evaluation and benchmarking (e.g., perplexity testing, fine-tuned adapter performance).
• Conduct GPU testing across desktop and mobile devices.
• Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods.
• Deliver production-grade, efficient language model deployment for mobile and edge use cases.
• Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.

• Proficiency in C++ and GPU kernel programming.
• Proven Expertise in GPU acceleration with Vulkan framework.
• Strong background in quantization and mixed-precision model optimization.
• Experience and Expertise in Vulkan compute shader development and customization.
• Familiarity with LoRA fine-tuning and parameter-efficient training methods.
• Ability to debug GPU-specific performance and stability issues on desktop and mobile devices.
• Hands-on experience with mobile GPU acceleration and model inference.
• Familiarity with large language model architectures (e.g., Qwen, Gemma, LLaMA, Falcon etc.).
• Experience implementing custom backward operators for fine-tuning.
• Experience creating and curating custom datasets for style transfer and domain-specific fine-tuning.
• Demonstrated ability to apply empirical research to overcome challenges in model development.

Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page.

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending with tether.to or tether.io.

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing.

Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

We are looking for an experienced AI Model Engineer with deep expertise in kernel development, model optimization, fine-tuning, and GPU acceleration. The engineer will extend the inference framework to support inference and fine-tuning for Language models with a strong focus on mobile and integrated GPU acceleration (Vulkan).

This role requires hands-on experience with quantization techniques, LoRA architectures, Vulkan backend, and mobile GPU debugging. You will play a critical role in pushing the boundaries of desktop and on-device inference and fine-tuning performance for next-generation SLM/LLMs.

• Implement and optimize custom inference and fine-tuning kernels for small and large language models across multiple hardware backends.
• Implement and optimize full and LoRA fine-tuning for small and large language models across multiple hardware backends.
• Design and extend datatype and precision support (int, float, mixed precision, ternary QTypes, etc.).
• Design, customize, and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.
• Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.
• Architect and prepare support for advanced quantization techniques to improve efficiency and memory usage.
• Debug and optimize GPU operators (e.g., int8, fp16, fp4, ternary).
• Integrate and validate quantization workflows for training and inference.
• Conduct evaluation and benchmarking (e.g., perplexity testing, fine-tuned adapter performance).
• Conduct GPU testing across desktop and mobile devices.
• Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods.
• Deliver production-grade, efficient language model deployment for mobile and edge use cases.
• Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.

• Proficiency in C++ and GPU kernel programming.
• Proven Expertise in GPU acceleration with Vulkan framework.
• Strong background in quantization and mixed-precision model optimization.
• Experience and Expertise in Vulkan compute shader development and customization.
• Familiarity with LoRA fine-tuning and parameter-efficient training methods.
• Ability to debug GPU-specific performance and stability issues on desktop and mobile devices.
• Hands-on experience with mobile GPU acceleration and model inference.
• Familiarity with large language model architectures (e.g., Qwen, Gemma, LLaMA, Falcon etc.).
• Experience implementing custom backward operators for fine-tuning.
• Experience creating and curating custom datasets for style transfer and domain-specific fine-tuning.
• Demonstrated ability to apply empirical research to overcome challenges in model

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page.
• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
• Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io
• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

В формирующееся направления Data Science ищем опытного Data Scientist , который сможет эффективно взаимодействовать с другими командами, генерировать и проверять гипотезы, а успешные решения внедрять в продукт.

По мере роста команды и появления интересов в конкретных направлениях, будет возможность стать тимлидом.

У компании разные бизнес-направления (склады с логистикой, маркетплейсы), поэтому могут быть разнообразные задачи : от оптимизации процессов на складах до рекомендаций при поиске товаров и разработки чат-ботов.

EMEX — международный холдинг, который включает торговый, информационный, и фулфилмент бизнесы: EMEX.DWC в ОАЭ, фулфилмент оператор HWC и EMEX.ru.

EMEX — стабильный бизнес: на протяжении 20+ лет мы прибыльны каждый квартал . Сейчас у бизнеса есть задача — быть эффективным , а для этого нужно достичь промежуточных целей по измеримости и управляемости. Для этого мы перепроектируем структуру всех компаний и значительно усиливаем все наши направления.

• Разработка новых решений (ML-модели, оптимизационные модели и т.д.)
• Взаимодействие с другими командами (презентация результатов, выявление потребностей, валидация гипотез).

• У тебя большой опыт работы в Data Science и ты знаком со всем основным теоретическим (мат.статистика, методологии тестирования, ml-модели, теория оптимизации) и технологическим стеком (Python: pandas, scikit-learn, sciPy, etc.). Ты работаешь в сфере DS более 3 лет и у тебя техническое образование;
• Ты готов работать руками и не боишься сырых данных. Отлично знаешь SQL, возможно даже имеешь опыт работы в BI-системах;
• Ты проактивен и не боишься экспериментировать. Для тебя естественны желания протестировать новый алгоритм на основе прочитанной статьи, найти неэффективность в процессе и смоделировать альтернативный процесс, покопаться в данных и затем сформулировать новые гипотезы;
• Ты ориентирован на бизнес-результат и не стремишься все решать только с помощью ml-модели. У тебя прокачено критическое мышление и problem solving, ты можешь оценить свое решение с точки зрения бизнеса;
• Ты четко доносишь свои мысли и можешь доступно презентовать результаты. Для тебя не проблема объяснить смысл ROC-AUC коллеге, визуализировать результат с помощью понятного графика или презентовать новую статью.

• Ты работал в фулфилменте (хранение, сортировка, логистика) или в маркетплейсах и классифайдах;
• Ты занимался задачами комбинаторной оптимизации или задачами рекомендаций и поиска;
• У тебя за спиной несколько ML-проектов полного цикла.

Удаленный формат работы из любой страны мира. С нами можно работать по ТК РФ (оплата в рублях) или через контракт через Дубай (оплата в USD);

Возможность быстро расти . Сейчас есть много вакуума ответственности, который можно занимать;

Международный продукт , улучшающий потребительский опыт предпринимателей в разных странах, с большими амбициями и ресурсами для дальнейшего глобального развития;

Работу с высоким уровнем свободы , возможность принимать решения и выбирать пути решения задач самостоятельно;

Отсутствие бюрократии.

COMPANY DESCRIPTION

We are the world’s largest performance marketing network, with over 3,000 experts in 68 offices in 48 markets. We offer a complete suite of crafts designed to deliver customer-centric performance marketing solutions. Armed with intelligent insights and an audience first approach our team of expert consultants deliver integrated media, data and technology solutions that help brands better connect with consumers at every stage of their digital marketing transformation.

In MENA, Kinesso are the Digital Marketing Transformation experts and provide services focused on delivering marketing efficiencies and return of investment for brands across the MENA region.

ROLE OVERVIEW

At Kinesso, we rely on powerfully insightful data to help brands better connect with their consumers at every stage of their marketing transformation.

Our data science team has mathematical and statistical expertise, natural curiosity, and a creative mind that’s not so easy to find. As a data scientist you mine, interpret, and clean data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. And will “slice and dice” data using your own methods, creating new visions for the future.

OBJECTIVES

• Collaborate with advertiser’s brand team and media agencies to develop an understanding of needs.
• Research and devise innovative statistical models for data analysis.
• Communicate findings and insights effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Enable smarter business processes—and implement analytics for meaningful insights.
• Become a thought leader on the value of data by finding new features or products by unlocking the value of data.
• Develop and implement machine learning models and algorithms to solve complex business problems.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies .
• Work with product and engineering teams to integrate data science solutions into production systems
• Collaborate with data engineers to design and optimize data pipelines and architectures.

• Keep current with technology and industry developments.

RESPONSIBILITIES

• Analyse data for trends and patterns using machine learning algorithms and Interpret data with a clear objective in mind.
• Identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the team to strategize and execute the development of data products.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for improvement.
• Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables.
• Working on the Media Mix Models , Full Funnel Model, Multitouch Attribution etc. to optimize the media
• Devise and utilize algorithms and models to mine data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
• Conduct causality experiments by applying A/B experiments to identify the root issues of an observed result.
• Communicate analytic al solutions to stakeholders and implement improvements as needed.

SKILLS & QUALIFICATIONS

• Bachelor’s degree in statistics, applied mathematics, or related discipline.
• Minimum of 4-6 years in a similar role.
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced pattern recognition and predictive modelling experience
• E xperience of Media Mix Models, Multitouch Attribution on the working knowledge
• Media understanding is preferrable
• Additional skills of Gen AI, NLP, NLU are optional/ added advantage
• Experience with Excel, Tableau /Looker Studio , SQL, and languages: Python, R
• Storytelling and Data Visualization
• Media understanding is preferrable
• Additional skills of Gen AI, NLP, NLU are optional/ added advantage
• Working knowledge of supervised and unsupervised machine learning techniques such as regression, clustering, classification, decision tree learning, and artificial neural networks
• Comfort working in a dynamic, data- oriented team with several ongoing concurrent projects.
• Professional certifications in data science

PREFERRED QUALIFICATIONS

• Master’s degree in stats, applied math, or related discipline.
• Experience with No SQL, Pig, Hive, and PySpark , Big Query.

We are a trusted recruitment partner for organizations across the Middle East. Established in 2016, we specialize in delivering unparalleled talent solutions by leveraging our strategic market presence and understanding of evolving industry dynamics.

Our customer is seeking a Data Scientist to contribute to success in the Technical domain.

• Bachelor’s degree in a relevant field
• 3–7 years of relevant experience
• Strong communication and collaboration skills
• Proficiency with industry-standard tools/software
• Ability to manage multiple tasks and deadlines
• Knowledge of compliance and governance standards
• Experience in the related industry
• Strong problem-solving and analytical skills
• Ability to work in cross-functional teams
• Fluency in English; Arabic is a plus
• Proven track record of delivering results
• Adaptability to fast-paced environments