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senior data scientist

Jeel

<div>
 
 
 Senior Data Scientist &ndash; Drive AI Innovation at Jeel!
 
 
 
 
 
 
 📍
 
 Location:
 
 Riyadh, Saudi Arabia
 
 
 🏢
 
 Company:
 
 Jeel Digital Innovations (A Subsidiary of Riyad Bank)
 
 
 
 
 
 
 About Jeel Digital Innovations:
 
 
 
 Jeel is more than a tech company &ndash; we are a bold digital movement redefining financial services through AI, data science, and cutting-edge digital products. As a subsidiary of Riyad Bank, Jeel combines start-up agility with the scale and security of a major financial institution.
 
 
 We&rsquo;re building a future where data is not just analysed &ndash; it&rsquo;s activated to solve real-world challenges. If you're passionate about machine learning, intelligent automation, and ethical AI, we want you on our team.
 
 
 
 
 
 
 About the Role:
 
 
 
 As a Senior Data Scientist at Jeel, you&rsquo;ll lead the design, development, and deployment of scalable AI/ML solutions that directly impact customers, internal decision-making, and business outcomes. You&rsquo;ll work across data engineering, MLOps, analytics, and governance &ndash; while exploring the frontier of GenAI, LLMs, and applied data science in fintech.
 
 
 This role isn&rsquo;t just about building models &ndash; it&rsquo;s about shaping the AI strategy of a digitally-ambitious organisation.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 🧠
 
 AI Strategy &amp; Model Development
 
 &ndash; Build and operationalise ML models that solve high-impact business problems using Python, TensorFlow, PyTorch, and Scikit-learn.
 
 
 📊
 
 Data Analytics &amp; Visualisation
 
 &ndash; Deliver predictive insights via tools like Tableau, Power BI, and Apache Superset.
 
 
 🚀
 
 MLOps &amp; Deployment
 
 &ndash; Deploy robust, scalable models via CI/CD, Docker, Kubernetes and cloud platforms (GCP, Azure, AWS).
 
 
 📉
 
 Cost Efficiency &amp; Performance Tuning
 
 &ndash; Optimise data pipelines, AI workloads, and storage costs across cloud-native platforms.
 
 
 🛡️
 
 Ethical AI &amp; Governance
 
 &ndash; Ensure regulatory compliance (SAMA, GDPR, NCA) and promote responsible AI standards.
 
 
 🤝
 
 Cross-Functional Collaboration
 
 &ndash; Work closely with engineers, product owners, and business leaders to embed intelligence into every decision.
 
 
 
 
 
 
 Who We&rsquo;re Looking For:
 
 
 
 ✅
 
 Education
 
 : Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, Statistics, or related field.
 
 
 ✅
 
 Experience
 
 : 5+ years in data science/ML; hands-on cloud AI deployment; MLOps and big data engineering.
 
 
 ✅
 
 Technical Stack
 
 : Python, R, SQL, Spark, TensorFlow, PyTorch, Scikit-learn, Docker, Kubernetes, GitLab CI, Apache Kafka.
 
 
 ✅
 
 Bonus
 
 : Experience with LLMs, RAG, NLP, and real-time data streaming.
 
 
 ✅
 
 Soft Skills
 
 : Strategic mindset, excellent storytelling, collaboration, and curiosity.
 
 
 
 
 
 
 Why Join Jeel?
 
 
 
 🌍
 
 Impact-Driven AI Work
 
 &ndash; Solve real challenges in fintech and digital banking with ethical, future-ready AI.
 
 
 🏗️
 
 Full-Stack Data Environment
 
 &ndash; Engage across model building, data engineering, deployment, and experimentation.
 
 
 📈
 
 Learn &amp; Grow
 
 &ndash; Continuous learning is in our DNA. Explore LLMs, AutoML, cloud AI, and emerging trends.
 
 
 🤝
 
 A Collaborative Culture
 
 &ndash; Work with mission-driven experts who believe in purpose, autonomy, and excellence.
 
 
 🚀
 
 Shape Tomorrow
 
 &ndash; Your insights will drive innovation across Jeel&rsquo;s next-gen digital products and services.
 
 
 
 
 
 
 Ready to Build the Future of AI at Jeel?
 
 
 
 If you're excited about innovation, passionate about data, and driven to make a difference &ndash; apply now and join us on this journey.
 
</div>

Senior Data Scientist

Devoteam

<div>
 
 
 Company Description
 
 
 
 
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,&nbsp;
 
 
 
 Values:
 
 
 
 1. Respect
 
 
 2. Frankness
 
 
 3. Passion
 
 
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 &nbsp;
 
 
 
 
 Job Description
 
 
 
 
 As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success
 
 
 Key responsibilities :&nbsp;
 
 <ul>
 <li>
 Identifying relevant data sources for business needs.
 </li>
 <li>
 Processing, cleansing, and Organising data into usable formats.
 </li>
 <li>
 Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
 </li>
 <li>
 Apply data mining techniques such as association rule discovery, classification, and clustering&nbsp;
 </li>
 <li>
 Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
 </li>
 <li>
 Transform and preprocess raw data to create meaningful features that can improve model performance.
 </li>
 <li>
 Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
 </li>
 <li>
 Communicate complex data findings in a clear and concise manner to non-technical stakeholders
 </li>
 <li>
 Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
 </li>
 <li>
 
 Advanced Technical Skills:&nbsp;&nbsp;Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
 
 </li>
 <li>
 
 Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
 
 </li>
 <li>
 
 Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
 
 </li>
 <li>
 
 &nbsp;
 
 
 Build conversational AI applications.
 
 </li>
 </ul>
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, IT or equivalent
 </li>
 <li>
 + 7 year experience within the data science field.
 </li>
 <li>
 Has a strong knowledge and proven experience in following areas: SQL, statistics , machine learning and programming
 </li>
 <li>
 Strong expertise in various supervised and unsupervised machine learning algorithms such as Time Series Forecasting ,regression ,Clustering,Classification and deep learning methods
 </li>
 <li>
 Experience working with Agile methodologies
 </li>
 <li>
 Ability to communicate with both technical and non-technical audiences
 </li>
 <li>
 Excellent English and Arabic communication skills (written &amp; spoken)
 </li>
 <li>
 Analytical mindset and Problem-solving skills
 </li>
 <li>
 Alteryx or Dataiku experience is a must
 </li>
 <li>
 MLOps experience is a plus
 </li>
 <li>
 Practical Knowledge of big data systems is a plus
 </li>
 </ul>
 
 
 
 Additional Information
 
 
 
 
 BU: Data Intelligence
 
 
 Senio Level&nbsp;
 
</div>

Foodics

<div>Who Are We&#10067; 
We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
The Job in a Nutshell
You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You&rsquo;ll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
What Will You Do&#10067;<ul><li><ul>
<li>Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring.</li>
<li>Design and develop scalable solutions using classical ML and GenAI techniques.</li>
<li>Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models.</li>
<li>Collaborate with squads and platform teams to ensure reusability and adherence to standards.</li>
<li>Mentor junior ML engineers and contribute to the internal ML knowledge base.</li>
<li>Integrate models with APIs and backend services as needed.</li>
<li>Embrace and enforce a &quot;you build it, you run it&quot; approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement.</li>
</ul></li></ul>What Are We Looking For&#10067;<ul><li><ul>
<li>5+ years&rsquo; experience in applied ML, AI, or data science.</li>
<li>Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers).</li>
<li>Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability.</li>
<li>Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing.</li>
<li>Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences.</li>
<li>Proven track record of deploying ML models in production at scale.</li>
<li>Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness.</li>
<li>Strong understanding of data pipelines, experimentation, and model evaluation.</li>
<li>Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK).</li>
<li>Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex.</li>
</ul></li></ul>What We Offer You&#10071; 
We believe you will love working at Foodics!<ul>
<li>We have an inclusive and diverse culture that encourages innovation.</li>
<li>We offer highly competitive compensation packages, including bonuses and the potential for shares.</li>
<li>We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.</li>
<li>Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.</li>
<li>We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.</li></ul></div>

Senior Data Scientist / Senior ML Engineer

<div>
 
 Who Are We❓
 
 
 
 We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
 
 
 
 The Job in a Nutshell💡
 
 
 
 You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You'll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
 
 
 
 What Will You Do❓
 
 
 
 <ul>
 <li>
 Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring
 </li>
 <li>
 Design and develop scalable solutions using classical ML and GenAI techniques
 </li>
 <li>
 Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models
 </li>
 <li>
 Collaborate with squads and platform teams to ensure reusability and adherence to standards
 </li>
 <li>
 Mentor junior ML engineers and contribute to the internal ML knowledge base
 </li>
 <li>
 Integrate models with APIs and backend services as needed
 </li>
 <li>
 Embrace and enforce a "you build it, you run it" approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement
 
 
 </li>
 </ul>
 
 What Are We Looking For❓
 
 
 
 <ul>
 <li>
 5+ years' experience in applied ML, AI, or data science
 </li>
 <li>
 Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers)
 </li>
 <li>
 Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability
 </li>
 <li>
 Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing
 </li>
 <li>
 Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences
 </li>
 <li>
 Proven track record of deploying ML models in production at scale
 </li>
 <li>
 Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness
 </li>
 <li>
 Strong understanding of data pipelines, experimentation, and model evaluation
 </li>
 <li>
 Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK)
 </li>
 <li>
 Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex
 
 
 </li>
 </ul>
 
 What We Offer You❗
 
 
 
 We believe you will love working at Foodics!
 
 
 <ul>
 <li>
 We have an inclusive and diverse culture that encourages innovation
 </li>
 <li>
 We offer highly competitive compensation packages, including bonuses and the potential for shares
 </li>
 <li>
 We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment
 </li>
 <li>
 Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry
 </li>
 <li>
 We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company
 </li>
 </ul>
</div>

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 Our Purpose - Bridging the World Through Travel
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 Get to Know Our TeamThe Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 The Opportunity
 
 
 Please note -The role will be based in Bangkok.
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 In This Role, You&rsquo;ll Get to
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 What You&rsquo;ll Need to Succeed
 
 
 <ul>
 <li>
 4+ years hands-on data science experience
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment
 
 
 </li>
 </ul>
 It&rsquo;s Great if You Have
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
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 Equal Opportunity Employer
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 Disclaimer
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

Mozn

<div>
 
 
 About Mozn
 
 
 
 Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it's working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted Al technology partner for some of the largest government organizations, as well as many large corporations and startups.
 
 
 
 
 
 We are in an exciting stage of scaling the company to provide Al-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of Al to create a long-lasting impact.
 
 
 
 
 
 
 About the role
 
 
 
 We are seeking a Data Scientist with an interest in Natural Language Processing (NLP). In this role, you will assist in developing NLP models, apply problem solving skills, and support in pretraining and fine-tuning Large Language Models (LLMs). The ideal candidate will have a foundational understanding of data science, with a desire to specialize in NLP and machine learning, and a passion for learning and developing real-world solutions.
 
 
 
 
 
 
 
 
 
 What you'll do
 
 
 <ul>
 <li>
 Assist in the development and implementation of Natural Language Processing (NLP) models and LLMs
 </li>
 <li>
 Apply problem-solving skills to assist in the development of products and solutions, with a focus on learning and growth
 </li>
 <li>
 Support in pretraining and fine-tuning Large Language Models (LLMs), task solvers, and RAG.
 </li>
 <li>
 Collaborate with cross-functional teams to implement models, monitor outcomes, and iterate on solutions
 </li>
 <li>
 Conduct data analysis and exploratory research to uncover patterns, trends, and insights that can improve model performance and drive business outcomes.
 </li>
 <li>
 Assist in the evaluation and selection of appropriate algorithms, techniques, and methodologies for solving specific NLP problems
 </li>
 <li>
 Collaborate with senior data scientists and managers to document and communicate the results of model development and experiments effectively
 </li>
 <li>
 Stay up to date with the latest advancements in NLP, LLMs, RAG, and related fields, actively seeking opportunities to enhance knowledge and skills
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Data Science, Engineering, or a related field
 </li>
 <li>
 Proficiency in Arabic language (Native Arabic speaker) is a must. Knowledge of Modern Standard Arabic grammar and morphology is a plus
 </li>
 <li>
 3+ years of experience as a Data Scientist specialized in NLP or similar role
 </li>
 <li>
 Solid understanding of machine learning, natural language processing (NLP), large language models (LLMs), and deep learning techniques
 </li>
 <li>
 Deep expertise in Python's NLP libraries such as NLTK, SpaCy, and Hugging Face Transformers
 </li>
 <li>
 Excellent problem-solving skills and ML system design with an emphasis on product development
 </li>
 <li>
 Hands-on experience in deep learning frameworks such as TensorFlow or PyTorch
 </li>
 <li>
 Experience in R&amp;D is desirable
 </li>
 <li>
 Experience in one or more of the following is a must:
 </li>
 <li>
 LLMs pre-training, fine-tuning, and building LLMs, with demonstrable results
 </li>
 <li>
 Building Advanced (not plain-vanilla) Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 Information Retrieval, Embedders and Re-rankers training and finetuning
 </li>
 <li>
 Sense of Data quality and Data-centric approaches is a plus
 </li>
 <li>
 Experience in model optimization, serving and scalability is a plus
 </li>
 <li>
 Experience in OCR and its advanced techniques is a plus
 </li>
 <li>
 Familiarity with cloud platforms like AWS, GCP, or Azure is a plus
 </li>
 <li>
 Must be Humble, Excellent, Relevant with a high sense of Ownership
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in Al.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
 
 
</div>

Data Scientist

MASTER-WORKS

<div>Master-Works is looking for a skilled Data Scientist with over 3 years of experience to enhance our analytics team. In this role, you will dive deep into data analysis and apply your knowledge of machine learning and statistical techniques to drive business outcomes and support our strategic initiatives.
Key Responsibilities:<ul>
<li>Design and develop robust data models and algorithms to tackle complex business issues.</li>
<li>Perform extensive data analysis to identify insights, patterns, and trends from various data sources.</li>
<li>Implement predictive analytics using machine learning and statistical methods to enhance decision-making.</li>
<li>Collaborate with cross-functional teams to translate business requirements into analytical solutions.</li>
<li>Communicate findings and actionable insights clearly to stakeholders at all levels.</li>
</ul>Join Master-Works to play a pivotal role in leveraging data as a strategic asset and driving our organization forward through data-driven insights.
Requirements<ul>
<li>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.</li>
<li>3+ years of experience in data science, analytics, or a related field.</li>
<li>Proficient in programming languages such as Python, R, or SQL.</li>
<li>Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn).</li>
<li>Strong skills in data visualization tools, such as Tableau or Power BI.</li>
<li>Solid understanding of statistical analysis and modeling techniques.</li>
<li>Effective problem-solving skills and attention to detail.</li>
<li>Strong communication skills to convey complex data concepts to non-technical audiences.</li></ul></div>

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1258 senior data scientist jobs IN Riyadh

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