8 Data Scientist jobs in Ho Chi Minh City

**What you will do**:

- Building recommendation systems to improve to content discovery in ZingMP3 product;
- Working with other team to provide stability for your Data Science solutions;
- Perform analyses to understand user behaviors and find actionable insights for current and future data-focused innovation;
- Measure, track and improve the performance of the models continuously to detect model drift, feature drift, and concept drift;
- Providing technical solutions to match business requirements with focus on scalability and handling fast-growing data sets.

**What you will need**:

- Bachelor or higher in Computer Science or a related to Information Technology field;
- At least 3 years of experience in Data Scientist and strong in Data Analysis (NumPy, Pandas);
- Proficiency in one of programming language as: Python, C/C++ ;
- Have work experience with large amounts of real data, preferably experience with building and maintaining recommendation systems;
- Have experience in mentoring or leading members;
- Good knowledge about OS linux, Network protocols;
- Good communication and interpersonal skills, storytelling with data, e.g., ability to communicate data science concepts and analysis results to both technical and non-technical audiences;
- Good understanding of various Machine Learning algorithms pros and cons;
- Good understanding of AB testing is a plus.

**What you will do**:

- Building recommendation systems to improve to content discovery in ZingMP3 product;
- Working with other team to provide stability for your Data Science solutions;
- Perform analyses to understand user behaviors and find actionable insights for current and future data-focused innovation;
- Measure, track and improve the performance of the models continuously to detect model drift, feature drift, and concept drift;
- Providing technical solutions to match business requirements with focus on scalability and handling fast-growing data sets.

**What you will need**:

- Bachelor or higher in Computer Science or a related to Information Technology field;
- At least 3 years of experience in Data Scientist and strong in Data Analysis (NumPy, Pandas);
- Proficiency in one of programming language as: Python, C/C++ ;
- Have work experience with large amounts of real data, preferably experience with building and maintaining recommendation systems;
- Have experience in mentoring or leading members;
- Good knowledge about OS linux, Network protocols;
- Good communication and interpersonal skills, storytelling with data, e.g., ability to communicate data science concepts and analysis results to both technical and non-technical audiences;
- Good understanding of various Machine Learning algorithms pros and cons;
- Good understanding of AB testing is a plus.

**What you will do**:

- Building recommendation systems to improve to content discovery in ZingMP3 product;
- Working with other team to provide stability for your Data Science solutions;
- Perform analyses to understand user behaviors and find actionable insights for current and future data-focused innovation;
- Measure, track and improve the performance of the models continuously to detect model drift, feature drift, and concept drift;
- Providing technical solutions to match business requirements with focus on scalability and handling fast-growing data sets.

**What you will need**:

- Bachelor or higher in Computer Science or a related to Information Technology field;
- At least 3 years of experience in Data Scientist and strong in Data Analysis (NumPy, Pandas);
- Proficiency in one of programming language as: Python, C/C++ ;
- Have work experience with large amounts of real data, preferably experience with building and maintaining recommendation systems;
- Have experience in mentoring or leading members;
- Good knowledge about OS linux, Network protocols;
- Good communication and interpersonal skills, storytelling with data, e.g., ability to communicate data science concepts and analysis results to both technical and non-technical audiences;
- Good understanding of various Machine Learning algorithms pros and cons;
- Good understanding of AB testing is a plus.

**What you will do**:

- Building recommendation systems to improve to content discovery in ZingMP3 product;
- Working with other team to provide stability for your Data Science solutions;
- Perform analyses to understand user behaviors and find actionable insights for current and future data-focused innovation;
- Measure, track and improve the performance of the models continuously to detect model drift, feature drift, and concept drift;
- Providing technical solutions to match business requirements with focus on scalability and handling fast-growing data sets.

**What you will need**:

- Bachelor or higher in Computer Science or a related to Information Technology field;
- At least 3 years of experience in Data Scientist and strong in Data Analysis (NumPy, Pandas);
- Proficiency in one of programming language as: Python, C/C++ ;
- Have work experience with large amounts of real data, preferably experience with building and maintaining recommendation systems;
- Have experience in mentoring or leading members;
- Good knowledge about OS linux, Network protocols;
- Good communication and interpersonal skills, storytelling with data, e.g., ability to communicate data science concepts and analysis results to both technical and non-technical audiences;
- Good understanding of various Machine Learning algorithms pros and cons;
- Good understanding of AB testing is a plus.

Would you be excited to drive major changes to a scale service that is critical to the company? Substrate is the data and intelligence platform that enables internal partner teams at Microsoft to build, deploy, and maintain compliant productivity apps and services with reduced effort and faster time to market. We work closely with partners across M365 to enable critical suite-wide scenarios.
The Substrate Core Substrate team powers the infrastructure that underpins Microsoft 365's most critical services and Copilot. We are a high-impact, forward-looking team focused on building intelligent, scalable, and cost-efficient platforms that enable Microsoft to deliver world-class productivity experiences to billions of users. Our mission is to drive operational excellence and innovation across the M365 fleet by leveraging AI, automation, and deep platform integration.
We are looking for a passionate and growth-oriented **Applied Scientist 2** to join our team. As an Applied Scientist, you will play a pivotal role in transforming how Copilot features are delivered across Microsoft 365. You'll be part of the team building the Substrate platform that powers M365 Copilot, developing scalable algorithms and machine learning pipelines that drive innovation across Copilot Search, BizChat, Connectors, and Agents (DAs). This is a unique opportunity to work at the intersection of platform engineering and applied science, helping shape the future of AI-powered productivity.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive data exploration and analysis by collecting initial datasets, selecting appropriate analytical techniques, and applying foundational statistical methods to extract insights.
+ Build and evaluate ML models by running modeling tools on prepared datasets, analyzing performance, and incorporating customer feedback to improve outcomes.
+ Contribute to AI development by writing production-quality code for features or models, applying debugging best practices, and staying current with industry trends and methodologies.
+ Champion customer-centric solutions by understanding business goals, identifying growth opportunities, and managing expectations throughout the project lifecycle.
+ Collaborate cross-functionally with engineering and product teams to define success metrics, improve AI quality at scale, and shape how performance is measured across Copilot technologies.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
+ OR equivalent experience.
+ 2+ years of applied science or data science experience
**Other Requirements:**
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
+ Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
+ OR related field
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
+ OR related field AND 4+ years data-science or applied science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR equivalent experience.
#M365CORE
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Would you be excited to drive major changes to a scale service that is critical to the company? Substrate is the data and intelligence platform that enables internal partner teams at Microsoft to build, deploy, and maintain compliant productivity apps and services with reduced effort and faster time to market. We work closely with partners across M365 to enable critical suite-wide scenarios.
The Substrate Core Substrate team powers the infrastructure that underpins Microsoft 365's most critical services and Copilot. We are a high-impact, forward-looking team focused on building intelligent, scalable, and cost-efficient platforms that enable Microsoft to deliver world-class productivity experiences to billions of users. Our mission is to drive operational excellence and innovation across the M365 fleet by leveraging AI, automation, and deep platform integration.
We are looking for a passionate and growth-oriented **Senior Applied Scientist** to join our team. As an Applied Scientist, you will play a pivotal role in transforming how Copilot features are delivered across Microsoft 365. You'll be part of the team building the Substrate platform that powers M365 Copilot, developing scalable algorithms and machine learning pipelines that drive innovation across Copilot Search, BizChat, Connectors, and Agents (DAs). This is a unique opportunity to work at the intersection of platform engineering and applied science, helping shape the future of AI-powered productivity.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive data exploration and analysis by collecting initial datasets, selecting appropriate analytical techniques, and applying foundational statistical methods to extract insights.
+ Build and evaluate ML models by running modeling tools on prepared datasets, analyzing performance, and incorporating customer feedback to improve outcomes.
+ Contribute to AI development by writing production-quality code for features or models, applying debugging best practices, and staying current with industry trends and methodologies.
+ Champion customer-centric solutions by understanding business goals, identifying growth opportunities, and managing expectations throughout the project lifecycle.
+ Collaborate cross-functionally with engineering and product teams to define success metrics, improve AI quality at scale, and shape how performance is measured across Copilot technologies.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
+ OR equivalent experience.
+ 4+ years of applied science or data science experience
**Other Requirements:**
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
+ Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
+ OR related field
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
+ OR related field AND 6+ years data-science or applied science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR equivalent experience.
#M365CORE
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

**Job Description**:
Visa Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results. The incumbent will be part of VCA Data Science geographic team cluster of Indonesia, Philippines, Vietnam, Myanmar and Cambodia (IPVMC) markets, and will be responsible for Data Science backed consulting engagements with Visa's clients in Vietnam. The team is involved in a comprehensive range of consulting services and solutions to our clients, that address unique challenges in areas such as strategic growth, profitability, risk management, digital strategy and data-driven portfolio management decisions.

If you like to use fact-based, data-driven solutions to solve for business problems that deliver value and enable Vietnam clients to win more business, you should apply.

What a Sr Data Scientist does at Visa:
The Sr Data Scientist is a key member of the Visa Analytics and Consulting (VCA) team. As a Sr Data Scientist for Vietnam, you will be supporting the design, development and implementation of analytics driven strategies and solutions for key Visa clients. You will collaborate with our VCA, Business, and Technology teams across the organization to implement solutions to drive business performance.

In this role, you are expected to:

- Define detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
- Support and deliver analytics projects from conception to completion with actionable insights and recommendations
- Clearly communicate the findings and recommendations, drive deployment and implementation of analytics solutions, and track business value impact
- Research industry metrics and business context and bring this context to bear in analyses
- Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques fit for purpose to the needs of our clients
- Ensure all project documentation is up to date and maintain the highest levels of quality in deliverables
- Perform as an independent contributor mostly, with high engagement with consultants and other data science team members to deliver projects
- Enhance existing analytic techniques by promoting new methodology and best practices in analytics field
- High interaction with external clients, and manage internal and external stakeholders
- On a per-project basis, work on client site as required

This role reports to the Head of Data Science for the Vietnam Country team and this position will be based in our Ho Chi Minh City Visa office.

Why this is important to Visa

As a payment consulting arm of Visa, VCA is growing a team of highly specialized experts that can provide best in class payment expertise to the client. We want to bring this expertise closer to our clients by placing the Sr Data Scientist in-market in Vietnam. We are a global organization leveraging global expertise and best practice with local knowledge and understanding of our client partners. This enables us to deepen our partnership with our clients and bring value to their business.

**Qualifications**:
What you will need:

- Degree (Masters or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
- Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive, and a working knowledge of Hadoop ecosystem
- Proficiency in some of the following statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc
- Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
- Demonstrated ability to innovate solutions to solve business problems
- Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style; able to work effectively in a matrixed organization
- Excellent presentation skills, including strong oral and written capabilities
- Self-motivated, results-oriented individual with the ability to progress multiple priorities concurrently
- Solutions-focused mindset
- Willingness to travel 30%+

What will also help:

- Experience in analytics for retail banking, card issuing or consulting to retail banks
- Understanding of Payments and Banking Industry including Consumer Credit, Consumer debit, Small Business, Commercial, Co-Brand and Merchant
- In-market experience and/or knowledge of local language and culture as well