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Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>10/16/2025
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>1-3 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Riyadh
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div>We are seeking a motivated Saudi National Data Scientist with 2&ndash;3 years of experience in data analysis, statistical modeling, and predictive analytics. The ideal candidate will assist in transforming raw data into actionable insights, supporting data-driven decision-making across the organization. This role is ideal for candidates passionate about data, analytical problem-solving, and leveraging statistical techniques to derive business value. 
Key Responsibilities:<ul><li> 
Collect, clean, and pre process data from multiple sources to ensure accuracy and consistency.</li><li> 
Assist in building predictive models, statistical analyses, and machine learning solutions.</li><li> 
Support the development of dashboards and reports using Power BI, Tableau, or similar tools.</li><li> 
Collaborate with business teams to understand requirements and translate them into data-driven solutions.</li><li> 
Analyze trends, patterns, and anomalies to provide actionable business insights.</li><li> 
Participate in feature engineering, data transformation, and model evaluation.</li><li> 
Document methodologies, models, and analytical processes.</li><li> 
Ensure compliance with data security, governance, and quality standards.</li><li> 
Stay updated with emerging data science tools, techniques, and best practices.</li><li> 
Assist in presenting findings to stakeholders in a clear and concise manner.</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3>
Skills Required:<ul><li> 
2&ndash;3 years of experience in data analysis or data science.</li><li> 
Proficiency in Python, R, or similar programming languages for data analysis.</li><li> 
Strong knowledge of statistics, machine learning, and predictive modeling.</li><li> 
Experience with SQL and data querying.</li><li> 
Familiarity with Power BI, Tableau, or other visualization tools.</li><li> 
Understanding of data preprocessing, feature engineering, and model evaluation.</li><li> 
Strong analytical, problem-solving, and critical-thinking skills.</li><li> 
Excellent attention to detail and data accuracy.</li><li> 
Good communication and teamwork skills.</li><li> 
Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li></ul></div></div></div>

Data Scientist (Saudi National)

TAWANTECH

<div>
 
 
 Job Overview:
 
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Analyze large, complex structured and unstructured datasets to derive actionable insights.
 </li>
 <li>
 Develop, validate, and deploy statistical and machine learning models.
 </li>
 <li>
 Use SQL, Python, or R to manipulate data and draw insights from large datasets.
 </li>
 <li>
 Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
 </li>
 <li>
 Implement parameter reduction techniques such as feature selection and PCA to optimize models.
 </li>
 <li>
 Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment.
 </li>
 <li>
 Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
 </li>
 <li>
 Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems.
 </li>
 <li>
 Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
 </li>
 <li>
 Collaborate with cross-functional teams including product, engineering, and business stakeholders.
 </li>
 <li>
 Ensure accuracy, consistency, and quality in data deliverables.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Required Qualifications:
 
 
 
 
 <ul>
 <li>
 3+ years of experience as a Data Scientist, Data Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in SQL and Python or R.
 </li>
 <li>
 Hands-on experience with data visualization tools (Power BI, Tableau, Looker, etc.).
 </li>
 <li>
 Solid understanding of statistics, data modeling, hypothesis testing, and machine learning.
 </li>
 <li>
 Experience with parameter reduction techniques (e.g., PCA, feature selection).
 </li>
 <li>
 Proven experience working with APIs, large datasets, and both structured/unstructured data.
 </li>
 <li>
 Experience using Dataiku (DSS) for building data pipelines and deploying models.
 </li>
 <li>
 Familiarity with LLMs (prompt engineering, fine-tuning) and vector database technologies.
 </li>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
 </li>
 <li>
 Experience in the financial services or investment domain is a plus
 </li>
 </ul>
</div>

Data Scientist

<div><h3 class="jobSectionHeader">Job Overview:</h3>
We are seeking an experienced Data Scientist to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Analyze large, complex structured and unstructured datasets to derive actionable insights.
</li><li>Develop, validate, and deploy statistical and machine learning models.
</li><li>Use SQL, Python, or R to manipulate data and draw insights from large datasets.
</li><li>Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
</li><li>Implement parameter reduction techniques such as feature selection and PCA to optimize models.
</li><li>Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment.
</li><li>Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
</li><li>Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems.
</li><li>Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
</li><li>Collaborate with cross-functional teams including product, engineering, and business stakeholders.
</li><li>Ensure accuracy, consistency, and quality in data deliverables.
</li></ul>Requirements<h3 class="jobSectionHeader">
Required Qualifications:</h3><ul>
<li>3+ years of experience as a Data Scientist, Data Analyst, or similar role.
</li><li>Strong proficiency in SQL and Python or R.
</li><li>Hands-on experience with data visualization tools (Power BI, Tableau, Looker, etc.).
</li><li>Solid understanding of statistics, data modeling, hypothesis testing, and machine learning.
</li><li>Experience with parameter reduction techniques (e.g., PCA, feature selection).
</li><li>Proven experience working with APIs, large datasets, and both structured/unstructured data.
</li><li>Experience using Dataiku (DSS) for building data pipelines and deploying models.
</li><li>Familiarity with LLMs (prompt engineering, fine-tuning) and vector database technologies.
</li><li>Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
</li><li>Experience in the financial services or investment domain is a plus.</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 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>

Senior Data Scientist (Bangkok based, relocation provided)

<div><h3 class="jobSectionHeader">Job Overview:</h3>
We are looking for an experienced BI Specialist to design and build high-quality dashboards, reports, and data pipelines that deliver actionable insights to stakeholders. The ideal candidate has a strong background in data analysis, interactive dashboard development, and experience working with large, complex datasets. If you are passionate about transforming data into intuitive visual stories, we&rsquo;d love to hear from you.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Design, develop, and maintain interactive dashboards and reports using tools such as Dash (Plotly), Power BI, Tableau, Looker, or equivalent.
</li><li>Build and maintain end-to-end pipelines in Dataiku (DSS), including datasets, recipes, scenarios, and integration of Dash apps within DSS.
</li><li>Work with cross-functional teams to understand reporting needs and translate business requirements into technical solutions.
</li><li>Ensure data integrity and consistency across all dashboards and reporting outputs.
</li><li>Write efficient SQL, Python, or R scripts for data extraction, transformation, and analysis.
</li><li>Utilize Dash (Plotly) to create interactive visualizations, handling callbacks and responsive designs for a seamless user experience.
</li><li>Collaborate with data engineers and scientists to source, clean, and structure data from APIs and internal systems.
</li><li>Apply statistical analysis and data modeling techniques to support business insights.
</li><li>Optimize dashboard performance and data refresh processes.
</li><li>Maintain documentation for dashboards, data models, and workflows.</li>
</ul>
Requirements<ul>
<li>
3+ years of experience as a BI Specialist, Data Analyst, or a related role.
</li><li>Proficiency in SQL, and working knowledge of Python or R.
</li><li>Strong hands-on experience with BI tools such as Power BI, Tableau, Looker, or Dash (Plotly).
</li><li>Practical experience with Dash, including dynamic interactions (callbacks), responsive UI design, and deployment.
</li><li>Solid understanding of Dataiku (DSS), including datasets, recipes, scenarios, and dashboard publishing.
</li><li>Good grasp of statistics, data modeling, and hypothesis testing.
</li><li>Experience working with APIs, structured/unstructured data, and large datasets.
</li><li>Bachelor's degree in Data Science, Computer Science, Statistics, Economics, or a related field.
</li><li>Experience with financial services or investment data is a plus.</li></ul></div>

BI Specialist

Maaden Saudi Arabian Mining Company

Lead Specialist, Data, Technology and Reporting II Trending Job Info <ul> <li>Job Identification 6244</li> <li>Posting Date 10/13/2025, 08:13 AM</li> <li>Locations Riyadh, Riyadh, 11537, SA</li> <li>Apply Before 11/30/2025, 08:13 AM</li> <li>Job Schedule Full time</li> </ul> Job Description Role Profile - Lead Specialist, Data, Technology & Reporting II <ul> <li>Job Title: Lead Specialist, Data, Technology and Reporting II</li> <li>Reporting to: CLO</li> <li>Business Unit/Function: Legal, Risk & Compliance</li> <li>Department: CLO Office</li> <li>Grade: M11</li> <li>Position Type: Regular</li> </ul> Job Purpose The Lead Specialist, Data Technology and Reporting plays a dual role, supporting the Legal, Compliance, and Risk function through: <ul> <li>Leading the development and management of data infrastructure, reporting systems, and analytics.</li> <li>Providing high-level administrative and coordination support to the function's leadership.</li> </ul> The role ensures accurate, compliant, and insightful data flows while enabling smooth operation of executive and functional activities. Key Accountabilities Data, Technology & Reporting Reporting <ul> <li>Develop and maintain automated reports and dashboards for compliance monitoring, risk exposure, legal performance, and regulatory submissions.</li> <li>Coordinate periodic and ad hoc reports for internal and external stakeholders, including board-committee submissions.</li> </ul> Budget Planning <ul> <li>Manage the finances of the function, including budget planning. </li><li>Liaise with internal stakeholders and finance for initial planning and ongoing reporting.</li> <li>Manage engagements with external parties, including consultants, service providers, and advisors.</li> <li>Review expenses against budgets and manage invoice approvals and submissions.</li> </ul> Data Analytics <ul> <li>Design and manage data models to support matter management and databases.</li> <li>Produce and monitor dashboards for legal, compliance, and risk activities.</li> <li>Ensure system interoperability and data flow between systems.</li> </ul> Data Governance and Integrity <ul> <li>Lead data quality initiatives and implement validation protocols.</li> <li>Maintain taxonomy, metadata, and access controls in line with governance policies.</li> <li>Act as business lead for LRC systems implementations and upgrades.</li> <li>Provide technical specifications, user acceptance testing, and vendor coordination.</li> </ul> Stakeholder Engagement <ul> <li>Serve as focal point for internal and external stakeholder engagement.</li> <li>Arrange and deliver training sessions for the function.</li> </ul> Leadership Support Executive Calendar & Scheduling <ul> <li>Manage calendars and coordinate meetings for the CLO, VP Risk & Compliance, and VP Legal.</li> <li>Prepare agendas, minutes, and follow-up trackers.</li> </ul> Documentation & Records Management <ul> <li>Draft correspondence and compile presentation materials.</li> <li>Maintain organized records of committee meetings and communications.</li> </ul> Travel & Logistics <ul> <li>Coordinate travel arrangements and conference registrations.</li> <li>Process expense claims and maintain travel records.</li> <li>Liaise with internal departments, regulators, and industry bodies.</li> <li>Ensure professional and timely communication on behalf of the executive office.</li> </ul> Confidential Support <ul> <li>Handle sensitive materials with discretion.</li> <li>Support leadership in board meetings, audits, and legal proceedings.</li> </ul> Minimum Qualifications, Experience and Competencies Minimum Qualification: Bachelor's or Master's degree in English, Finance, Computer Science, Statistics, Business Analytics, or related field. <ul> <li>6+ years in executive support or legal/compliance/risk management and reporting.</li> <li>Experience in cross-functional environments with legal, compliance, and IT stakeholders.</li> </ul> Maaden High Performance Competencies <ul> <li>Skills: <ul> <li>Organizational and multitasking abilities.</li> <li>Advanced proficiency in data visualization and analytics tools (e.g., Power BI, Tableau, Python, SQL).</li> <li>High attention to detail and strong ethics.</li> <li>Analytical mindset with ability to translate data into insights.</li> <li>Strong written and verbal communication.</li> <li>Proactive, responsive, and team-oriented.</li> <li>Project management and stakeholder engagement skills.</li> </ul> </li> </ul>

Lead Specialist, Data, Technology and Reporting II

Explore 1192+ Data science specialist in Riyadh this November. Find roles across top companies and apply now to boost your career.

1192 data science specialist jobs IN Riyadh

Data Scientist (Saudi National)

Data Scientist

Data Scientist

Lead DS (Data Scientist) Bangkok based, Relocation provided

Senior Data Scientist (Bangkok based, relocation provided)

BI Specialist

Lead Specialist, Data, Technology and Reporting II