data support engineer

data analyst specialist

senior data scientist

sr. data scientist (vois)

data scientist

Digital Egypt For Investment Co.

<div>
 As a
 
 Senior Data Scientist
 
 ,you will lead the design and execution of advanced data science projects that drive strategic business decisions. This role requires a deep understanding of machine learning, statistical modeling, and data analytics to uncover insights and deliver impactful solutions. You will collaborate with cross-functional teams to translate complex data into actionable strategies, mentor junior team members, and contribute to the continuous improvement of Teradata&rsquo;s data science capabilities.
 
 
 
 Key Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Lead Data Science Projects: Manage the full lifecycle of data science initiatives&mdash;from problem definition and data exploration to model development and deployment.
 </li>
 <li>
 Build Predictive Models: Design and implement machine learning and statistical models to solve business challenges and forecast outcomes.
 </li>
 <li>
 Analyze Complex Datasets: Perform deep data analysis to identify trends, patterns, and opportunities for optimization.
 </li>
 <li>
 Collaborate Across Teams: Work closely with data engineers, product managers, and business stakeholders to align data solutions with organizational goals.
 </li>
 <li>
 Deploy and Monitor Models: Ensure models are scalable, reliable, and integrated into production systems with ongoing performance monitoring.
 </li>
 <li>
 Mentor and Guide: Support the growth of junior data scientists by sharing best practices, reviewing work, and fostering a culture of continuous learning.
 </li>
 <li>
 Communicate Insights: Present findings clearly to both technical and non-technical audiences, turning data into compelling narratives and strategic recommendations.
 </li>
 <li>
 Stay Current: Keep up with the latest advancements in AI, machine learning, and data science to enhance existing methodologies and tools.
 
 
 </li>
 </ul>
 
 Must-Have Qualifications
 
 
 
 <ul>
 <li>
 Minimum 5 years of experience in data science or analytics
 </li>
 <li>
 Proficiency in Python and SQL
 </li>
 <li>
 Strong foundation in statistical analysis and machine learning
 </li>
 <li>
 Expertise in deep learning algorithms and Generative AI (GenAI)
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 </ul>
</div>

Senior Data Scientist

VOIS

<div>
 
 Who We Are
 
 
 
 VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
 
 
 As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
 
 
 We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
 
 
 #VOIS #BeUnrivalled #CreateTheFuture
 
 
 
 About This Role
 
 
 
 
 What you&rsquo;ll do
 
 
 
 <ul>
 <li>
 Build, test, and deliver new analytics models using diverse datasets to support business use cases
 </li>
 <li>
 Prepare and cleanse data, optimise SQL and NoSQL queries, and implement statistical models
 </li>
 <li>
 Develop descriptive and predictive models for specific market segments, products, and services
 </li>
 <li>
 Collaborate with commercial teams to present actionable insights derived from analytical results
 </li>
 <li>
 Support product management in identifying customer-facing analytics use cases for roadmap planning
 </li>
 <li>
 Contribute to defining lifecycle processes for analytics to enable fast and cost-effective development
 </li>
 <li>
 Participate in business analysis and document specifications for information requests
 
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Experienced in advanced analytics techniques including descriptive, predictive, and optimisation models
 </li>
 <li>
 Skilled in handling complex, high-volume data, preferably within Hadoop/Spark environments
 </li>
 <li>
 Proficient in SQL and databases such as Teradata, Oracle, and MySQL
 </li>
 <li>
 Strong knowledge of machine learning techniques and their real-world applications
 </li>
 <li>
 Hands-on experience with statistical tools like Python, R, SAS EM, MATLAB, SPSS, and Teradata Warehouse Miner
 </li>
 <li>
 Holds a degree in Computer Science, Engineering, Applied Mathematics, or Statistics (MS/Ph.D. preferred)
 </li>
 <li>
 Comfortable working in international, distributed teams with agile methodologies
 </li>
 <li>
 Excellent communication, analytical, and troubleshooting skills
 </li>
 <li>
 Innovative thinker with a flexible, proactive attitude and strong coordination capabilities
 </li>
 <li>
 Fluent in English, both written and spoken
 
 
 
 </li>
 </ul>
 
 Not a Perfect Fit?
 
 
 
 
 What&rsquo;s In It For You
 
 
 
 
 What skills you will learn
 
 
 
 
 VOIS Equal Opportunity Employer Commitment
 
 
 
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
 
 
 We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
 
 
 With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
 
 
 
 Alert
 
 
 
 Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
 
 
 #JDEnhancedByTARA
 
 
 
 Follow us on social media and #StayConnected
 
 
 
 <ul>
 <li>
 LinkedIn
 </li>
 <li>
 Facebook
 </li>
 <li>
 Instagram
 </li>
 <li>
 Chat with our employees to learn more about our projects
 </li>
 </ul>
</div>

Sr. Data Scientist (VOIS)

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 , 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>
 
 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

Deloitte

<div><div><div><div><div><h2 class="jobSectionHeader">About the Business</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">Work you'll do</h2>
</div><div><ul><li>Conduct data cleansing for financial and accounting datasets to achieve standardization and uniformity.</li>
<li>Develop, optimize, and validate credit risk quantitative models to enhance their application in loan approval, default prediction, and credit scoring.</li>
<li>Utilize statistical and machine learning methods to build credit risk models, improving their predictive power and stability.</li>
<li>Participate in projects applying AI techniques to credit risk management, exploring the use of deep learning, reinforcement learning, and other advanced methods in credit scoring and default prediction.</li>
<li>Analyze and process multi-source heterogeneous data (e.g., transaction data, social data, behavioral data) to improve data quality and design effective features.</li>
<li>Ability to build and apply a strong knowledge of methodologies, frameworks, processes, assets, and tools to develop and implement effective data driven solutions</li>
<li>Support and deliver risk advisory projects; producing high quality project deliverables as per the expected scope and timelines</li>
<li>Support business development including sales bidding processes and contract management</li>
<li>Participate in eminence building initiatives to strengthen Deloitte's leading position in the provision of risk advisory services, e.g. participating in events and publications</li>
<li>Contribute to the continuous development and improvement of advisory tools and methodologies</li>
<li>Support Deloitte's relationship with key financial services institutions, industry representative bodies and regulatory bodies in Hong Kong and beyond</li>
</ul>
During your tenure with us, you will demonstrate and develop your leadership and professional capabilities in the following areas: Inspiring, Creating purpose, Driving agility, Building diverse capability, Influencing, Collaborating, Delivering value, Building the business, Analytical acumen, Effective communication, Engagement management/delivery excellence, Managing change, Managing quality &amp; risk, Sales excellence, Strategic thinking and problem solving, and Tech savviness.</div></div><div><div><h2 class="jobSectionHeader">
We are looking for someone with</h2>
</div><div>
Education:
<ul>
<li><div><ul><li>Bachelor&rsquo;s Degree in Finance, Economics, Engineering, Risk Management, Quantitative Finance, Law, or a related field.</li>
</ul>
</div></li></ul>Experience:
<ul>
<li><div><ul><li>3-5 years of industry experience in leading advisory firms, banks, insurers, exchanges, regulators, credit agencies, brokerage, private equity, asset management, tech firms/start-ups, or experience related to credit risk quantitative modeling and AI algorithm applications.</li>
<li>Hands-on experience in data analysis, feature engineering, and model validation within the financial sector.</li>
</ul>
</div></li></ul>Technical Skills:
<ul>
<li><div><ul><li>Strong understanding of credit risk management frameworks with expertise in statistical, machine learning, and AI techniques, particularly deep learning and natural language processing.</li>
<li>Proficient in credit risk model algorithms and operations, including logistic regression, decision trees, clustering, and neural networks.</li>
<li>Extensive experience with financial institution data, including familiarity with credit approval processes and data cleaning/analysis of both retail and non-retail loans.</li>
<li>Skilled in processing external data (e.g., PBOC, tax-related, and judicial data) and handling both structured and unstructured data. Familiar with methods for addressing abnormal data.</li>
<li>Proven experience in credit risk model development, including model deployment, verification, optimization, and continuous monitoring.</li>
<li>Proficient programming skills, with expertise in SAS, Python, or SQL, and machine learning libraries such as sklearn and PyTorch.</li>
</ul>
</div></li></ul>Professional Qualifications:
<ul>
<li><div><ul><li>FRM, CFA, SAS related or equivalent certification.</li>
</ul>
</div></li></ul>Soft Skills:
<ul>
<li><div><ul><li>Experience working in complex matrix environments; international outlook with cultural sensitivity.</li>
<li>Familiarity with the evolving regulatory landscape affecting financial institutions.</li>
<li>Excellent communication and collaboration skills, with the ability to work effectively within teams.</li>
<li>Fluency in written and spoken business English; fluency in Chinese is an advantage.</li>
<li>Ability to support transformation and change initiatives, demonstrating enthusiasm, drive, and effectiveness.</li>
</ul></div></li></ul></div></div><div><div><h2 class="jobSectionHeader">Shape your future through impact that matters</h2></div><div> 
For more than 100 years of history, Deloitte witnessed also had the honor to be part of the economic boom in China by providing industry-leading audit &amp; assurance, consulting, risk advisory, financial advisory, tax &amp; business advisory services to nearly 90% of the Fortune Global 500 Chinese companies and thousands of private companies. Deloitte China today carries on our centenary professionalism and strives to become the undisputed leader in professional services in China with strong responsibility and capabilities in digitalization and multidisciplinary services. 

Deloitte has been named China's Top Employer since 2006, Universum's Most Attractive Employer in China since 2008, and the Best Workplaces in Greater China since 2019. 

All qualified applicants will receive consideration for employment regardless of their background, experience, identity, ability or thinking style, and if you need assistance during the application process for accessibility reasons this is available upon request. The preferred candidate will be subject to background screening by Deloitte China or by their external third-party provider. 

Accessibility assistance 
 
If you need assistance or an accommodation during the recruitment process for accessibility reasons, there will be an opportunity for you to let us know what you need once you begin your application. 

Ready to take on new challenges? Apply now!</div></div></div></div></div>

Senior Consultant/Manager

HR Hub

The Research &amp; Quality Assurance Specialist is responsible for conducting market and audience research, analyzing data, and ensuring the accuracy, consistency, and quality of content, processes, and deliverables. This role combines analytical thinking with a commitment to maintaining high standards in both data and operational performance.Key Responsibilities: Research &amp; Analysis<ul><li>Conduct market research, audience analysis, and competitor benchmarking.</li><li>Collect, organize, and interpret qualitative and quantitative data.</li><li>Prepare research reports, dashboards, and performance summaries for management.</li><li>Provide insights to guide programming, marketing strategies, or client campaigns.</li></ul>Quality Assurance<ul><li>Review programs, reports, or advertising materials to ensure accuracy, clarity, and compliance with internal standards and regulations.</li><li>Develop and maintain quality assurance procedures and checklists.</li><li>Monitor output for technical and editorial quality (sound, visuals, timing, data accuracy, etc., if in media).</li><li>Identify process gaps and recommend improvements to enhance efficiency and consistency.</li></ul>Coordination &amp; Support<ul><li>Collaborate with production, content, marketing, and sales teams to ensure research data supports decision-making.</li><li>Train and support staff in applying quality assurance procedures and data reporting standards.</li><li>Participate in performance evaluation and continuous improvement projects.</li></ul>Qualifications &amp; Experience:<ul><li>Bachelor&rsquo;s degree in business administration, Marketing, Statistics, Media Studies, or Quality Management.</li><li>3&ndash;6 years of experience in research, data analysis, or quality assurance (preferably in media, advertising, or market research).</li><li>Strong analytical and reporting skills.</li><li>Proficient in data tools (Excel, Power BI, SPSS, or Google Data Studio).</li><li>Familiar with quality management systems (e.g., ISO standards) is a plus.</li><li>Excellent attention to detail, accuracy, and organizational skills.</li><li>Strong written and verbal communication skills in English (Arabic is a plus).</li></ul>Key Competencies:<ul><li>Analytical mindset and problem-solving ability.</li><li>High accuracy and consistency under pressure.</li><li>Cross-departmental collaboration and teamwork.</li><li>Initiative and ownership of quality outcomes.</li><li>Confidentiality and integrity when handling sensitive data.</li></ul>What We Offer:<ul><li>Competitive salary and benefits package.</li><li>A dynamic, data-driven work environment.</li><li>Career development and training opportunities.</li><li>Opportunity to contribute to strategic business and content decisions.</li></ul>Job Type: Full-timeExperience:<ul><li>Quality Assurance: 5 years (Preferred)</li></ul>

Research & Quality Assurance Specialist

Explore 107+ Data scientist in Giza this November. Find roles across top companies and apply now to boost your career.

107 data scientist jobs IN Giza

Senior Data Scientist

Sr. Data Scientist (VOIS)

Senior Data Scientist (Bangkok based, relocation provided)

Lead DS (Data Scientist) Bangkok based, Relocation provided

Lead DS (Data Scientist) Bangkok based, Relocation provided

Senior Consultant/Manager

Research & Quality Assurance Specialist