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data science specialist

EjadTech - إيجاد التقنية

<div>
 
 To analyze large and complex datasets using statistical methods and machine learning algorithms, deriving valuable insights that support strategic decision-making and enhance organizational performance.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 Collect, clean, and prepare data from various internal and external sources.
 
 
 Design and build predictive models using Machine Learning and AI techniques.
 
 
 Apply advanced statistical analysis to discover hidden patterns and relationships.
 
 
 Develop interactive dashboards and reports using Business Intelligence tools (Power BI, Tableau).
 
 
 Collaborate with cross-functional teams (IT, Development, Business) to translate needs into analytical solutions.
 
 
 Monitor, validate, and continuously improve model performance.
 
 
 Present findings and provide actionable recommendations to senior management.
 
 
 Stay up to date with the latest trends in data science and emerging technologies.
 
 
 
 
 
 
 Qualifications:
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 
 
 Minimum of 3 years of professional experience in data analysis, data science, or predictive modeling.
 
 
 Proficiency in programming languages (Python, R, SQL).
 
 
 Knowledge of Big Data tools (Hadoop, Spark) is a plus.
 
 
 Strong skills in data visualization and reporting.
 
 
 Excellent analytical thinking and problem-solving abilities.
 
 
 Strong communication skills and ability to work in a team environment.
 
 
 
 
 
 
 Core Skills:
 
 
 
 Statistical Data Analysis
 
 
 Machine Learning &amp; Artificial Intelligence
 
 
 Business Intelligence (BI) Dashboards
 
 
 Database Management (SQL/NoSQL)
 
 
 Data Interpretation &amp; Storytelling for Non-Technical Stakeholders
 
</div>

Data Scientist

MBC GROUP

<div>
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 Model Development &amp; Implementation
 
 : Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks.
 </li>
 <li>
 
 AI Solutions
 
 : Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
 </li>
 <li>
 
 Data Analysis &amp; Exploration
 
 : Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
 </li>
 <li>
 
 Collaborative Problem Solving
 
 : Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives.
 </li>
 <li>
 
 Model Optimization
 
 : Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
 </li>
 <li>
 
 Scalability &amp; Performance
 
 : Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
 </li>
 <li>
 
 Stay Current with AI Trends
 
 : Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage.
 </li>
 <li>
 
 Reporting &amp; Communication
 
 : Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
 </li>
 <li>
 Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
 </li>
 <li>
 Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Strong proficiency in programming languages such as Python, R, or similar.
 </li>
 <li>
 Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
 </li>
 <li>
 Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
 </li>
 <li>
 Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.
 </li>
 </ul>
 
 
 
</div>

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>
 </li>
 <ul>
 <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>
 </ul>
 <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 - OSOS

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 Team
 
 
 
 The Data department 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
 
 
 
 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.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 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>

Lead DS (Data Scientist) Bangkok based, Relocation provided

<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 Team
 
 
 
 The 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.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 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>

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Senior Data Scientist (Bangkok based, relocation provided)

HPC Hamburg Port Consulting GmbH

<div>
 
 
 Become a part of HPC and shape the future with us!
 
 
 
 
 
 
 As a
 
 Data Scientist (m/f/d)
 
 , you will develop impactful AI and machine learning solutions for our port and logistics processes. From RAG pipelines to lakehouse architectures and MLOps on Azure: with us, you&rsquo;ll work in an environment where modern technologies meet real-world impact. You won&rsquo;t just be building prototypes &ndash; you&rsquo;ll be creating production-grade systems that drive daily port and logistics operations.
 
 
 
 
 
 
 Are you looking for a fresh perspective with plenty of responsibility and creative freedom?
 
 
 
 
 Then apply now!
 
 
 
 
 
 
 
 What you can expect:
 
 
 <ul>
 <li>
 You develop AI and machine learning solutions for the future of port and logistics processes &ndash; from accurate predictions (e.g., arrival times, throughput times, maintenance) and optimization models to LLM-based applications using RAG or multi-agent setups
 </li>
 <li>
 You build models, design pipelines, ensure smooth integration into the lakehouse, and manage operations with modern MLOps methods
 </li>
 <li>
 You collaborate closely with Data Governance, IT Security (KRITIS), Enterprise Architecture, Cloud/Infrastructure teams, and BI to bring innovative solutions into the organization securely and sustainably
 </li>
 <li>
 You make results tangible with BI tools, define KPIs, and support colleagues through workshops and knowledge sharing
 </li>
 <li>
 Throughout, you keep data protection, compliance, and the AI Act in mind &ndash; ensuring our solutions are not only smart but also trustworthy
 </li>
 </ul>
 
 
 
 
 
 Your profile:
 
 
 <ul>
 <li>
 Several years of experience in data science/machine learning &ndash; from modeling to production deployment
 </li>
 <li>
 Strong knowledge of Python and the common ML stack
 </li>
 <li>
 Hands-on experience with MLOps (MLflow, CI/CD, containers/Kubernetes) and cloud environments (ideally Azure)
 </li>
 <li>
 Initial practical experience with LLM applications (RAG, embeddings, prompting) or strong motivation to quickly build expertise in this field
 </li>
 <li>
 Ideally, experience in data governance and security (e.g., GDPR, AI Act)
 </li>
 <li>
 You communicate effectively and have excellent English skills
 </li>
 </ul>
 
 
 
 
 
 Are you interested, but don't fulfil all the requirements? Let's have a conversation!
 
 
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 Work from home and in our new office in Riyadh
 </li>
 <li>
 A competitive salary and exciting career paths
 </li>
 <li>
 Flexible working and a good work-life balance: flextime, mobile working and 30 days of vacation
 </li>
 <li>
 An open feedback culture: regular feedback sessions and talks
 </li>
 <li>
 A wide range of internal and external training courses, training and workshops
 </li>
 <li>
 Together into the future: Permanent employment and a company pension scheme
 </li>
 </ul>
 
 
 
 
 
 
 
 As an international logistics company with its roots in Hamburg, HHLA stands for cosmopolitanism and tolerance. We are convinced of the advantages of different perspectives, experiences and competences. Our aim is to create a working environment in which humanity, mutual respect and appreciation are the basis for the actions of all employees.
 
 
 
 
 
 If you would like to shape the future of HPC together with us, we look forward to receiving your detailed application - preferably online via our application form.
 
 
 
 
 
 
 
 
 
 Your contact
 
 
 
 
 
 
 HPC Hamburg Port Consulting GmbH
 
 
 HR Management
 
 
 Daria Petersen
 
</div>

Data Scientist (m/w/d) Riyadh, Saudi-Arabien

Explore 1188+ Data science specialist in Riyadh this October. Find roles across top companies and apply now to boost your career.

1188 data science specialist jobs IN Riyadh

Data Scientist

Data Scientist

Data Scientist - OSOS

Lead DS (Data Scientist) Bangkok based, Relocation provided

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Senior Data Scientist (Bangkok based, relocation provided)

Data Scientist (m/w/d) Riyadh, Saudi-Arabien