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

lead ds (data scientist) bangkok based, relocation provided

senior data scientist

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

senior data scientist (bangkok based, relocation provided)

sr. data scientist (vois)

senior data scientist bangkok based relocation provided

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

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

Axios International

<div>Position: Patient Care 
<ul>
<li>
Position Purpose 
The Patient Care plays a vital role in supporting and managing Patient Support Programs, ensuring that patients receive timely, compassionate, and professional assistance throughout their treatment journey. 
The Patient Care serves as a trusted advocate and a caring voice, ensuring no patient lives their patient support program journey alone. From coordinating services to providing guidance and quality care, the Patient Care brings clarity, transparency, guidance, direction, education, and awareness to the patient support program journey. Whether in the field or the office, every action is taken to make each patient&rsquo;s experience convenient and compliant. 
At its core, this role is about removing barriers to care and ultimately expanding access strategies around the globe, so patients have the chance to receive and maximize the medical benefits and support they deserve. 
Duties and Responsibilities 
<ul><li>Assist the line manager and assigned program team in effectively managing Patient Support Program(s) by liaising with key stakeholders.</li><li>Ensure timely enrolment of eligible patients in accordance with defined workflow and program timelines.</li><li>Educate and coordinate with patients to facilitate a seamless enrollment process aligned with program procedures.</li><li>Maintain accurate, complete patient files, prepared for timely submission in line with project standards.</li><li>Accompany team members on visits to healthcare providers, pharmacies, or patient support sites to support program implementation.</li><li>Ensure patients receive their medications efficiently and without delay.</li><li>Prepare and maintain regular reports on program performance, including patient numbers, services provided, and quality assurance metrics, in collaboration with the team.</li><li>Maintain and update electronic records related to patient data and quality assurance.</li><li>Participate in and complete all required training, including product training, pharmacovigilance, and any other client-provided or Axios-mandated trainings.</li><li>Report any adverse events or product complaints in line with client requirements and Axios Standard Operating Policies and Procedures (SOPPs).</li><li>Perform administrative duties related to program operations and general office support.</li><li>Utilize Axios&rsquo; Patient Management System (PMS) exclusively for all program activities.</li><li>Ensure a solid understanding and consistent application of international standards and relevant Axios policies and procedures.</li><li>Comply with all applicable laws, regulations, Axios Code of Conduct, and internal SOPPs.</li><li>Promote awareness of escalation protocols for any deviations or non-compliance issues.</li><li>Support governance and operational monitoring activities across all Axios programs.</li><li>Provide guidance, training, and ongoing support to subordinates and newly onboarded team members to ensure smooth integration and performance.</li><li>Liaise with external stakeholders to ensure clear, effective, and professional communication.</li><li>Ensure proper utilization of all provided digital platforms for both internal and external usage.</li><li>Perform additional duties as assigned by your line manager</li></ul></li></ul><div> 
Relationships 
<ul><li>Work closely with the Line Manager and program team members.</li><li>Work with the related divisions of Axios.</li><li>Maintain ongoing and frequent communication with Axios staff.</li><li>External Partners.</li></ul></div><div> 
Competencies 
<ul><li>Application of job knowledge.</li><li>Concern for order and quality.</li><li>Adaptability and flexibility.</li><li>Dependability.</li><li>Teamwork.</li></ul></div> 
Benefits of working with Axios include: 
<ul>
<li>Paying fair market value</li>
<li>Annual performance-based bonus (based on role, levels, and contract)</li>
<li>Premium Private health insurance</li>
<li>Career progression aligned with a competency framework . Humanitarian Impact: Contribute to patient support programs that make a meaningful difference in patients lives.</li>
<li>Learning Exposure: Expand your expertise through hands-on experience in global health initiatives and patient-focused programs.</li></ul><div> 
Educational Background and Experience 
<ul><li>A degree in a Scientific or healthcare-related field is preferred</li><li>Hands-on experience in a healthcare or scientific field or NGO is ideal</li><li>Experience in data monitoring and management is an advantage.</li><li>Experience coordinating and handling logistics/supply chain is a plus</li><li>Experience in customer service management</li></ul></div><div> 
Job Circumstances 
<ul><li>The position is based in our regional office, and it does entail frequent travel to Clients and partners, which may be outside your designated region.</li><li>Flexibility in ability to travel as well as working hours is essential.</li></ul></div></div>

Patient Care (Egypt)

<div>Patient Care Coordinator (Egypt)

Location: Al Dokki, Cairo 
Position Purpose 
The Patient Care Coordinator plays a vital role in supporting and managing Patient Support Programs, ensuring that patients receive timely, compassionate, and professional assistance throughout their treatment journey. 
The coordinator serves as a trusted advocate and a caring voice, ensuring no patient lives their patient support program journey alone. From coordinating services to providing guidance and quality care, the coordinator brings clarity, transparency, guidance, direction, education, and awareness to the patient support program journey. Whether in the field or the office, every action is taken to make each patient&rsquo;s experience convenient and compliant. 
At its core, this role is about removing barriers to care and ultimately expanding access strategies around the globe, so patients have the chance to receive and maximize the medical benefits and support they deserve. 
Duties and Responsibilities
<ul><li>Assist the line manager and assigned program team in effectively managing Patient Support Program(s) by liaising with key stakeholders.</li><li>Ensure timely enrolment of eligible patients in accordance with defined workflow and program timelines.</li><li>Educate and coordinate with patients to facilitate a seamless enrollment process aligned with program procedures.</li><li>Maintain accurate, complete patient files, prepared for timely submission in line with project standards.</li><li>Accompany team members on visits to healthcare providers, pharmacies, or patient support sites to support program implementation.</li><li>Ensure patients receive their medications efficiently and without delay.</li><li>Prepare and maintain regular reports on program performance, including patient numbers, services provided, and quality assurance metrics, in collaboration with the team.</li><li>Maintain and update electronic records related to patient data and quality assurance.</li><li>Participate in and complete all required training, including product training, pharmacovigilance, and any other client-provided or Axios-mandated trainings.</li><li>Report any adverse events or product complaints in line with client requirements and Axios Standard Operating Policies and Procedures (SOPPs).</li><li>Perform administrative duties related to program operations and general office support.</li><li>Utilize Axios&rsquo; Patient Management System (PMS) exclusively for all program activities.</li><li>Ensure a solid understanding and consistent application of international standards and relevant Axios policies and procedures.</li><li>Comply with all applicable laws, regulations, Axios Code of Conduct, and internal SOPPs.</li><li>Promote awareness of escalation protocols for any deviations or non-compliance issues.</li><li>Support governance and operational monitoring activities across all Axios programs.</li><li>Perform additional duties as assigned by your line manager</li></ul> 
Benefits of working with Axios include: 
<ul>
<li>Paying fair market value 
</li>
<li>Annual performance-based bonus (based on role, levels, and contract) 
</li>
<li>Premium Private health insurance 
</li>
<li>Career progression aligned with a competency framework . Humanitarian Impact: Contribute to patient support programs that make a meaningful difference in patients lives. 
</li>
<li>Learning Exposure: Expand your expertise through hands-on experience in global health initiatives and patient-focused programs</li></ul> 

<div>
Relationships 
<ul><li>Work closely with the Line Manager and the assigned program team.</li><li>Work with the related divisions of Axios.</li><li>Maintain ongoing and frequent communication with Axios staff.</li><li>External Partners.</li></ul>
Competencies 
<ul><li>Application of job knowledge.</li><li>Concern for order and quality.</li><li>Adaptability and flexibility.</li><li>Dependability.</li><li>Teamwork</li></ul></div><div> 
Educational Background and Experience 
<ul><li>A Degree or Diploma in any medical background or social work is ideal</li><li>0-1 year of working experience in a healthcare or scientific field or NGO is ideal</li><li>Experience in data monitoring and management is an advantage, though not required.</li><li>Experience coordinating and handling logistics/supply chain is an advantage, though not required.</li><li>Experience in customer service management</li></ul></div><div> 
Job Circumstances 
<ul><li>The position is based in our regional office, and it does entail frequent travel to Clients and partners, which may be outside your designated region.</li><li>Flexibility in ability to travel as well as working hours is essential</li></ul></div></div>

Patient Support Program Coordinator(Egypt)

Orange

<div><div>Purpose of the job
<ul><li>At Orange you'll be part of a dynamic team working on designing and implementing complex projects and new to market offers to fulfill customer expectations and company targets.</li><li>
Deciding how to achieve function objectives on short and long terms</li><li>
Work with internal stakeholders and external suppliers to identify opportunities/problems and design the solution to increase efficiency and revenue</li><li>
Measure the success of the launched product and plan its ongoing day to day activations</li><li>
Own new product communication and engagement Plans</li></ul>
Duties and responsibilities
Key Responsibilities:
1. User Experience (UX) Strategy &amp; Execution<ul><li>
Define and continuously improve the mobile app UX roadmap, ensuring intuitive and engaging customer journeys.</li><li>
Work closely with UI/UX designers to create wireframes, prototypes, and user flows that reflect a customer-first approach.</li><li>
Conduct user testing, feedback sessions, and usability studies to validate design decisions.</li><li>
Monitor app usability metrics (e.g., session time, screen flows, task completion rates) and optimize accordingly.</li></ul>
2. Analytics &amp; Insights<ul><li>
Drive a data-informed culture by setting up and monitoring key performance indicators (KPIs) for mobile app usage and engagement.</li><li>
Use analytics tools (e.g., Firebase, Google Analytics) to generate actionable insights.</li><li>
Identify user behavior trends, drop-offs, and pain points to inform product improvements and feature development.</li><li>
Translate insights into product requirements and business recommendations.</li></ul>
3. Customer Value Management (CVM)<ul><li>
Collaborate with CVM teams to segment users and personalize app experiences for different customer groups.</li><li>
Leverage app analytics and customer data to design CVM-led campaigns within the mobile app (e.g., targeted offers, onboarding flows, loyalty features).</li><li>
Align product strategies with CVM objectives to drive retention, upsell, and cross-sell opportunities.</li><li>
Integrate app with CVM platforms for real-time targeting and performance tracking.</li></ul>
4. Product Management &amp; Delivery<ul><li>
Own the mobile app product backlog and prioritize features based on business impact and user value.</li><li>
Lead agile development teams through sprint planning, reviews, and retrospectives.</li><li>
Collaborate with internal stakeholders (IT, Marketing, Customer Service) to align product goals and deliverables.</li><li>
Ensure timely delivery of high-quality app releases with proper testing and QA.</li></ul>
5. Leadership &amp; Collaboration<ul><li>
Mentor and guide junior product managers or UX analysts.</li><li>
Champion digital transformation initiatives and advocate for best-in-class mobile practices.</li><li>
Present findings, product updates, and strategic plans to senior leadership and stakeholders.</li></ul>
Qualifications &amp; Skills:
Education:<ul><li>
Bachelors or masters degree in business, Computer Science, UX Design, Data Science, or related field.</li></ul>
Experience:<ul><li>
58 years of experience in digital/mobile product management, with at least 2 years in a senior or supervisory role.</li><li>
Proven experience in managing end-to-end mobile app lifecycle.</li><li>
Strong background in UX principles, customer journey mapping, and agile product development.</li><li>
Solid understanding of CVM strategies and tools, including segmentation and personalization.</li></ul>
Technical &amp; Analytical Skills:<ul><li>
Proficiency in app analytics tools (e.g., Firebase, Google Analytics, Mixpanel).</li><li>
Familiarity with A/B testing, heatmaps, cohort analysis, and funnel tracking.</li><li>
Experience working with UX/UI tools (e.g., Figma, Sketch, Adobe XD).</li><li>
Understanding of mobile platforms (iOS/Android) and app store optimization (ASO).</li></ul>
Soft Skills:<ul><li>
Excellent communication and stakeholder management skills.</li><li>
Strong problem-solving and decision-making abilities.</li><li>
Strategic thinking with a customer-centric mindset.</li><li>
Ability to lead cross-functional teams in a fast-paced environment.</li></ul>
</div><div></div><div><h2 class="jobSectionHeader">Contrat
</h2><div>CDI</div></div></div>

Sr Supervisor, Digital Channels Product Owner

Explore 205+ Senior data scientist bangkok based relocation provided in Giza this November. Find roles across top companies and apply now to boost your career.

205 senior data scientist bangkok based relocation provided jobs IN Giza

Senior Data Scientist (Bangkok based, relocation provided)

Lead DS (Data Scientist) Bangkok based, Relocation provided

Lead DS (Data Scientist) Bangkok based, Relocation provided

Senior Data Scientist

Patient Care (Egypt)

Patient Support Program Coordinator(Egypt)

Sr Supervisor, Digital Channels Product Owner