digital marketing specialist Jobs in Alexandria

digital marketing specialist

lead ds (data scientist) bangkok based, relocation provided Jobs in Alexandria

lead ds (data scientist) bangkok based, relocation provided

senior data scientist (bangkok based, relocation provided) Jobs in Alexandria

senior data scientist (bangkok based, relocation provided)

data science specialist

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
 
 
 
 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
 
 
 
 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>
 
 Introduction
 
 
 
 The Deal Strategist is a critical member of IBM&rsquo;s Sales and Growth Team, supporting federal
 
 Top Deals
 
 and other designated deals across all pursuit phases &mdash; Identify, Engage, Qualify, Design, and Propose.
 
 
 Working alongside the Business Development Leader, Industry/Account Leader, Service Line Leader, Service Line Solution Architect, Deal Leader, GWAC PM, Proposal Manager, Price-to-Win Analyst, Competitive Intelligence Analyst, and Federal Marketing, the Deal Strategist helps shape the competitive strategy and ensures that every aspect of the pursuit is aligned to the client&rsquo;s mission priorities, IBM&rsquo;s differentiated value, and a path to a best-value award.
 
 
 The Deal Strategist operates as a strategic force multiplier &mdash; ensuring IBM&rsquo;s Top Deals are positioned for decisive wins through insight, precision, and differentiation.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Develops and sharpens pursuit strategies that integrate client hot buttons, competitive intelligence, IBM&rsquo;s key strengths, and price-to-win insights into actionable win themes, strengths, and positioning.
 </li>
 <li>
 Performs strategic messaging orchestration across call plans, solution development, executive summaries, and proposal narratives to ensure a unified and client-centric story.
 </li>
 <li>
 Supports key strategy sessions including Wargaming (Black Hat reviews), Win Strategy Workshops, Solution Design Sessions, and Price-to-Win Strategy meetings to drive alignment and rigor across the team.
 </li>
 <li>
 Advises Deal Leaders, Proposal Managers, and writers to ensure deliverables are sharply client-focused, clearly differentiated, and responsive to evaluation criteria.
 </li>
 <li>
 Monitors and adapts pursuit strategies dynamically as client intelligence, competitive insights, and solicitation changes emerge.
 </li>
 <li>
 Supports strategic reviews (Blue, Pink, Red, and Gold Teams) by assessing whether the pursuit delivers a clear, compelling, and client-driven value proposition aligned to IBM&rsquo;s win strategy.
 </li>
 <li>
 Delivers Performance Coaching to the pursuit team, including:
 </li>
 <ul>
 <li>
 Orals preparation and coaching: Crafting orals strategies, strengthening messaging, building confidence, and running mock presentations.
 </li>
 <li>
 Pursuit training: Reinforcing best practices for capture, strategy development, proposal writing, and strategic messaging.
 </li>
 <li>
 Real-time pursuit feedback: Providing actionable coaching during key pursuit milestones (strategy sessions, strategic reviews, orals rehearsal) to continuously improve team performance and client impact.
 </li>
 </ul>
 <li>
 Lessons learned integration: Capturing strengths and improvement areas post-pursuit to strengthen future efforts.
 </li>
 <li>
 Must be a US Citizen
 </li>
 <li>
 This Job can be performed from anywhere in the US
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Information Systems, Computer Science, Engineering, Business Administration, or a related field (or equivalent experience).
 </li>
 <li>
 Minimum of nine (9) years of progressive hands-on experience with SAP, including SAP Basis administration, Security, Change Management, and Integration technologies.
 </li>
 <li>
 Proven expertise in SAP infrastructure design, configuration, and performance management across complex enterprise environments.
 </li>
 <li>
 Deep knowledge of SAP Data Dictionary, SAP Solution Manager, Transport Management, and Oracle physical design for SAP.
 </li>
 <li>
 Experience in SAP sizing, workload characterization, and capacity planning.
 </li>
 <li>
 Demonstrated ability to lead strategic pursuits and solution development, aligning SAP capabilities to business outcomes.
 </li>
 <li>
 Strong communication skills (oral and written) with demonstrated ability to influence and engage executives, technical leaders, and cross-functional teams.
 </li>
 <li>
 Track record of technical and managerial leadership, including setting goals, directing delivery teams, managing financials, and ensuring compliance with client requirements.
 </li>
 </ul>
 <ul>
 <li>
 Relevant SAP Certifications (one or more required):
 </li>
 <ul>
 <li>
 SAP Certified Technology Associate &ndash; System Administration (SAP HANA) with SAP NetWeaver
 </li>
 <li>
 SAP Certified Technology Specialist &ndash; System Security Architect
 </li>
 <li>
 SAP Certified Technology Associate &ndash; SAP S/4HANA System Administration
 </li>
 <li>
 SAP Certified Application Associate &ndash; SAP Integration Suite / CPI
 </li>
 <li>
 SAP Certified Technology Specialist &ndash; SAP HANA Installation &amp; Operations
 
 </li>
 </ul>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Demonstrated ability to evaluate, develop, and maintain SAP infrastructure roadmaps to reduce complexity and increase cost efficiency.
 </li>
 <li>
 Deep understanding of SAP architecture, industry trends, and emerging technologies to guide enterprise-level strategy.
 </li>
 <li>
 Experience aligning SAP solutions with federal mission needs, particularly in defense and homeland security environments.
 </li>
 <li>
 Strong background in governance, risk management, and compliance frameworks (e.g., FedRAMP, DoD IL-5, NIST 800-53, NIST 800-171).
 </li>
 <li>
 Expertise in SAP NetWeaver architecture, integration layers, and development workbench.
 </li>
 <li>
 U.S. citizenship with the ability to obtain and maintain a federal security clearance.
 </li>
 <li>
 Proven success in executive-level client engagement, negotiation, and thought leadership, with the ability to influence strategy at scale.
 </li>
 </ul>
</div>

Senior SAP Consultant

McKinley Marketing Partners

<div>
 
 Job Description
 
 
 
 We are seeking AI Consultants to join our pipeline of professionals supporting organizations in leveraging artificial intelligence solutions. The AI Consultant will partner with business leaders and technical teams to assess needs, design strategies, and deliver AI-driven insights and applications that improve efficiency, decision-making, and customer experiences.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with clients to identify business challenges and opportunities where AI can drive measurable impact.
 </li>
 <li>
 Assess current data infrastructure, processes, and systems to determine AI readiness.
 </li>
 <li>
 Develop and recommend AI strategies, roadmaps, and proof-of-concept projects.
 </li>
 <li>
 Partner with technical teams to design, train, and deploy AI/ML models.
 </li>
 <li>
 Translate complex technical concepts into clear business recommendations and value propositions.
 </li>
 <li>
 Stay current on emerging AI technologies, tools, and industry best practices.
 </li>
 <li>
 Provide guidance on ethical considerations, data governance, and responsible AI adoption.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
 </li>
 <li>
 Hands-on experience with AI/ML frameworks, data analytics, or cloud platforms (e.g., TensorFlow, PyTorch, Azure AI, AWS, GCP).
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to interpret large datasets.
 </li>
 <li>
 Business acumen and experience communicating AI solutions to non-technical stakeholders.
 </li>
 <li>
 Consulting, client-facing, or cross-functional project experience preferred.
 
 
 </li>
 </ul>
 
 Ideal Candidate
 
 
 
 <ul>
 <li>
 Strategic thinker who can bridge the gap between technology and business outcomes.
 </li>
 <li>
 Comfortable in ambiguous, fast-changing environments.
 </li>
 <li>
 Strong communication, collaboration, and presentation skills.
 </li>
 <li>
 Curious and innovative mindset with a passion for AI applications.
 </li>
 </ul>
</div>

AI Consultant

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

Explore 76+ Data science specialist in Alexandria this October. Find roles across top companies and apply now to boost your career.

76 data science specialist jobs IN Alexandria

Lead DS (Data Scientist) Bangkok based, Relocation provided

Lead DS (Data Scientist) Bangkok based, Relocation provided

Senior Data Scientist (Bangkok based, relocation provided)

Senior SAP Consultant

AI Consultant

Senior Data Scientist (Bangkok based, relocation provided)

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