277 Data Scientist jobs in Vietnam
Senior Data Scientist
600000 Pleiku, Gia Lai
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Our client, a leader in the technology sector, is seeking an accomplished Senior Data Scientist to join their innovative team in a fully remote capacity. This role is at the forefront of data-driven decision-making, involving the development of advanced analytical models and predictive insights that shape product strategy and business growth. You will be responsible for extracting, cleaning, and analyzing large, complex datasets to identify trends, patterns, and actionable recommendations. Key responsibilities include designing and implementing machine learning algorithms, conducting statistical analysis, and building data visualizations to communicate findings effectively to both technical and non-technical stakeholders. The ideal candidate will possess a strong foundation in statistics, mathematics, and computer science, with extensive experience in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, and Scikit-learn. Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark) are essential. You will work closely with product managers, engineers, and business leaders to translate complex data problems into tangible solutions. This role demands excellent problem-solving skills, critical thinking, and the ability to work independently and collaboratively in a remote team environment. You will contribute to cutting-edge research and development, pushing the boundaries of data science to create innovative solutions. If you are a highly skilled data scientist with a passion for uncovering insights from data and a desire to drive innovation in a remote-first setting, we encourage you to apply. Make a significant impact on our strategic direction through your expertise.
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Graduate Data Scientist
34000 Thai Binh , Thai Binh
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Our client is looking for enthusiastic and bright Graduate Data Scientists to join their innovative analytics team in Thai Binh, Thai Binh, VN . This is an excellent opportunity for recent graduates with a strong foundation in statistics, mathematics, computer science, or a related quantitative field to kickstart their career in data science. As a Graduate Data Scientist, you will work closely with experienced data scientists and analysts to support various projects, gaining hands-on experience in data manipulation, analysis, and model development. Your responsibilities will include collecting, cleaning, and preprocessing large datasets from various sources, performing exploratory data analysis to uncover trends and insights, and assisting in the development and validation of predictive models using machine learning algorithms. You will also contribute to the creation of data visualizations and reports to communicate findings to technical and non-technical stakeholders. This role requires a strong aptitude for problem-solving, a keen eye for detail, and a passion for learning new technologies and methodologies. You will be involved in the entire data science lifecycle, from problem definition to deployment and monitoring of models. The ideal candidate demonstrates proficiency in programming languages such as Python or R, and has experience with SQL for database querying. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a significant advantage. While this is an internship role, it offers substantial learning and growth potential within a supportive and collaborative environment. You will have the opportunity to contribute to real-world business challenges and develop practical skills that are highly sought after in the industry. We are looking for individuals who are eager to learn, adaptable, and possess excellent communication skills to effectively share their findings and collaborate with team members.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets.
- Perform exploratory data analysis (EDA) to identify patterns and insights.
- Support the development and implementation of machine learning models.
- Create data visualizations and dashboards to present findings.
- Collaborate with senior data scientists on various analytics projects.
- Contribute to the documentation of data processes and model methodologies.
- Assist in testing and validating data models for accuracy and performance.
- Learn and apply new data science techniques and tools.
- Participate in team meetings and contribute to project discussions.
- Prepare reports summarizing analytical results and recommendations.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis techniques.
- Proficiency in Python or R programming language.
- Familiarity with SQL and database management.
- Basic knowledge of machine learning algorithms and concepts.
- Experience with data visualization tools is a plus.
- Excellent problem-solving and analytical skills.
- Strong written and verbal communication skills.
- Ability to work effectively in a team environment.
- Eagerness to learn and adapt to new technologies.
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Junior Data Scientist
65000 Nha Trang, Khanh Hoa
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Our client is seeking an ambitious and intellectually curious Junior Data Scientist to join our globally distributed, remote-first team. This internship provides an outstanding opportunity for recent graduates or individuals early in their data science careers to gain hands-on experience in a dynamic and innovative environment. You will work closely with senior data scientists and engineers, contributing to the development of data-driven solutions that address complex business challenges. This role is fully remote, allowing you to develop your skills from the comfort of your home office.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Develop and implement statistical models and machine learning algorithms to extract insights.
- Create data visualizations and reports to communicate findings to technical and non-technical audiences.
- Collaborate with team members on data mining and pattern recognition projects.
- Participate in code reviews and contribute to the development of robust data pipelines.
- Research and stay updated on emerging trends and techniques in data science and artificial intelligence.
- Support A/B testing and experimental design.
- Help in the deployment and monitoring of machine learning models.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in programming languages such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Familiarity with SQL and database concepts.
- Strong analytical and problem-solving abilities.
- Excellent communication skills, with the ability to explain technical concepts clearly.
- Ability to work effectively in a remote, collaborative team environment.
- Enthusiasm for learning and tackling new challenges.
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Senior Data Scientist
600000 Hoi An
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Our client is seeking a highly analytical and experienced Senior Data Scientist to join their fully remote data science team. This role is pivotal in extracting meaningful insights from complex datasets, developing predictive models, and driving data-informed decision-making across the organization. You will be responsible for designing and implementing machine learning algorithms, performing advanced statistical analysis, and communicating findings to both technical and non-technical stakeholders. The ideal candidate possesses a strong quantitative background, expertise in data manipulation and modeling, and exceptional communication skills, enabling them to excel in a remote, collaborative setting. You will contribute to innovative projects that leverage data to solve challenging business problems. Key responsibilities include:
- Developing and deploying machine learning models for predictive analytics, classification, clustering, and recommendation systems.
- Conducting exploratory data analysis to identify trends, patterns, and anomalies.
- Designing and implementing A/B tests and other experimental designs to measure impact.
- Cleaning, transforming, and preparing large datasets for analysis and modeling.
- Communicating complex analytical results and insights clearly through visualizations and reports.
- Collaborating with product managers, engineers, and business stakeholders to define analytical requirements and deliver solutions.
- Staying up-to-date with the latest advancements in data science, machine learning, and AI.
- Mentoring junior data scientists and contributing to the team's best practices.
- Evaluating and implementing new data science tools and technologies.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- 5+ years of professional experience in data science or a related analytical role.
- Proficiency in programming languages such as Python or R, and libraries like scikit-learn, TensorFlow, PyTorch, pandas, NumPy.
- Strong experience with SQL and working with large datasets.
- Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark) is a plus.
- Excellent understanding of statistical modeling, machine learning algorithms, and experimental design.
- Strong analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Proven ability to work independently and manage projects in a remote team environment.
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Agricultural Data Scientist
40000 Thai Binh , Thai Binh
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Our client is looking for an innovative Agricultural Data Scientist to join their pioneering remote team, focused on leveraging data to optimize agricultural practices and improve crop yields. This role involves analyzing large datasets from various sources, including sensor data, weather patterns, satellite imagery, and soil analysis, to develop predictive models and actionable insights. You will be responsible for designing and implementing data mining strategies, building machine learning models for crop disease prediction, yield forecasting, and resource management. The ideal candidate will have a strong background in statistics, data science, and a passion for agriculture. Key responsibilities include cleaning, transforming, and visualizing agricultural data, collaborating with agronomists and farmers to understand their needs, and communicating findings effectively to technical and non-technical audiences. You will also explore and integrate new data sources and technologies to enhance analytical capabilities. A Master's or Ph.D. in Data Science, Statistics, Computer Science, Agricultural Science, or a related quantitative field is required. Proven experience with data science toolkits (e.g., Python with libraries like Pandas, Scikit-learn, TensorFlow; R) and database management (SQL) is essential. Experience in the agricultural sector or with geospatial data is highly advantageous. Excellent analytical, problem-solving, and communication skills are critical for success in this fully remote position. You will contribute to sustainable agriculture from the comfort of your home.
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Remote Data Scientist
880000 Phan Thiet, Binh Thuan
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Our client is seeking a highly analytical and skilled Remote Data Scientist to join their innovative team. This position is fully remote, allowing you to contribute to impactful data-driven projects from any location. You will be responsible for collecting, processing, and analyzing large datasets to extract valuable insights and develop predictive models that drive business decisions. The ideal candidate has a strong quantitative background, expertise in machine learning, and a passion for uncovering patterns in data.
Responsibilities:
Qualifications:
Responsibilities:
- Collect, clean, and transform complex datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop, train, and evaluate machine learning models for predictive analytics, classification, and clustering.
- Implement data mining techniques and statistical modeling to derive actionable insights.
- Collaborate with product managers, engineers, and business stakeholders to understand data needs and translate them into analytical solutions.
- Create compelling data visualizations and reports to communicate findings effectively to both technical and non-technical audiences.
- Build and maintain data pipelines and workflows.
- Monitor model performance and retrain or refine models as needed.
- Stay updated on the latest advancements in data science, machine learning, and artificial intelligence.
- Document methodologies, code, and results thoroughly.
- Contribute to the development of data-driven strategies and product enhancements.
- Work effectively in a remote, collaborative environment, utilizing communication and project management tools.
Qualifications:
- Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- 3+ years of experience as a Data Scientist or in a similar analytical role.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Strong experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with SQL and database management.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
- Strong analytical, problem-solving, and critical-thinking abilities.
- Effective communication and presentation skills, with the ability to explain complex concepts clearly.
- Proven ability to work independently and manage projects effectively in a remote setting.
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Agricultural Data Scientist
94000 Can Tho , Can Tho
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Our client is seeking a talented Agricultural Data Scientist to be based in Can Tho. This role requires a deep understanding of agricultural practices combined with advanced data analysis skills to drive innovation and efficiency in farming. You will be responsible for collecting, processing, and analyzing large datasets from various agricultural sources, including sensor data, weather patterns, soil analysis, and yield reports. Your insights will help optimize crop yields, improve resource management (water, fertilizer), and develop predictive models for pest and disease outbreaks. You will work closely with agronomists and farm managers to implement data-driven strategies and provide actionable recommendations. Key responsibilities include: developing and implementing statistical models and machine learning algorithms, creating data visualizations and reports to communicate findings, identifying trends and patterns in agricultural data, collaborating with IT teams to ensure data quality and accessibility, and staying abreast of the latest technologies and research in agricultural data science. Qualifications: Master's or Ph.D. in Data Science, Statistics, Agronomy, or a related quantitative field. Minimum 5 years of experience in data analysis, with a focus on agricultural applications. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). Experience with SQL and database management. Familiarity with agricultural technologies and practices. Strong understanding of statistical modeling and machine learning techniques. Excellent analytical, problem-solving, and communication skills. Ability to interpret complex data and present findings clearly to both technical and non-technical audiences. Experience with GIS software is a plus. This is an excellent opportunity to make a significant impact on the future of agriculture through data.
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Lead Data Scientist
55000 Hoa Sơn
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Our client, a cutting-edge scientific research and development firm, is looking for a highly experienced Lead Data Scientist to spearhead their data science initiatives in **Da Nang, Da Nang, VN**. This is an on-site role within a collaborative research environment.
As the Lead Data Scientist, you will be responsible for driving the development and implementation of advanced analytical models and machine learning algorithms to solve complex scientific and business problems. You will lead a team of data scientists, mentor junior members, and collaborate with researchers and engineers to translate data insights into actionable strategies. This role requires a strong foundation in statistical modeling, machine learning, data mining, and programming.
Key Responsibilities:
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline, with a minimum of 6 years of experience in data science and machine learning, including experience in a leadership role. Expertise in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, scikit-learn, and Pandas is essential. Strong knowledge of statistical modeling, experimental design, and various machine learning algorithms is required. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable. Excellent analytical, problem-solving, and communication skills are paramount. You should be a strategic thinker with a proven ability to lead teams and deliver impactful data-driven solutions.
As the Lead Data Scientist, you will be responsible for driving the development and implementation of advanced analytical models and machine learning algorithms to solve complex scientific and business problems. You will lead a team of data scientists, mentor junior members, and collaborate with researchers and engineers to translate data insights into actionable strategies. This role requires a strong foundation in statistical modeling, machine learning, data mining, and programming.
Key Responsibilities:
- Lead the design, development, and deployment of predictive models and machine learning algorithms.
- Analyze large, complex datasets to identify trends, patterns, and insights relevant to research objectives.
- Develop and implement data mining and data visualization techniques.
- Collaborate with researchers and domain experts to understand project requirements and translate them into data science solutions.
- Mentor and guide junior data scientists, fostering a culture of learning and innovation.
- Evaluate and select appropriate machine learning techniques and tools for specific projects.
- Ensure the quality, accuracy, and integrity of data and model outputs.
- Communicate complex findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of data infrastructure and best practices.
- Manage data science projects, ensuring timely delivery and adherence to quality standards.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline, with a minimum of 6 years of experience in data science and machine learning, including experience in a leadership role. Expertise in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, scikit-learn, and Pandas is essential. Strong knowledge of statistical modeling, experimental design, and various machine learning algorithms is required. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable. Excellent analytical, problem-solving, and communication skills are paramount. You should be a strategic thinker with a proven ability to lead teams and deliver impactful data-driven solutions.
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7
Lead Data Scientist
10000 An Cu, An Giang
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Our client is seeking an innovative and experienced Lead Data Scientist to join their cutting-edge research and development team, based in **Hanoi, Hanoi, VN**, though this role offers a remote working arrangement. This position requires a visionary leader with a deep expertise in statistical modeling, machine learning, and data analysis. You will be responsible for guiding a team of data scientists, overseeing complex analytical projects, and driving the development of predictive models and data-driven solutions. Key responsibilities include defining research methodologies, designing experiments, and interpreting results to extract actionable insights. You will collaborate closely with stakeholders across various departments to understand business needs and translate them into data science problems. This role involves working with large datasets, employing advanced analytical techniques, and communicating findings effectively to both technical and non-technical audiences. A strong background in programming languages such as Python or R, along with experience in big data technologies and cloud platforms, is crucial. We are looking for a proactive individual who can mentor junior team members, stay abreast of the latest advancements in data science, and contribute to the strategic direction of our data initiatives. The successful candidate will possess exceptional problem-solving skills, a passion for innovation, and a proven ability to deliver impactful results through data. This is a unique opportunity to lead pioneering work in a stimulating environment, contributing to scientific advancements and business growth in **Hanoi, Hanoi**. Embrace the challenge of pushing the boundaries of data science.
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Lead Data Scientist
940000 Can Tho , Can Tho
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Our client is seeking a highly motivated and experienced Lead Data Scientist to join our esteemed educational institution in Can Tho, Can Tho, VN . This role is critical in driving data-informed decision-making across various departments, from student success initiatives to operational efficiency. You will be responsible for developing and implementing advanced analytical models to extract meaningful insights from complex datasets. This includes designing and conducting experiments, building predictive models, and creating data visualizations to communicate findings effectively. The Lead Data Scientist will mentor a team of data analysts and scientists, fostering a collaborative and innovative environment. Key responsibilities encompass defining the data science roadmap, identifying opportunities for applying machine learning and AI to solve educational challenges, and ensuring the ethical and responsible use of data. You will work closely with faculty, administrators, and IT professionals to understand their needs and translate them into data-driven solutions. The ideal candidate will have a Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field, with at least 7 years of experience in data science and analytics. Proven experience in leading data science projects and mentoring teams is essential. Strong proficiency in statistical modeling, machine learning algorithms, and programming languages such as Python or R is required. Experience with data visualization tools (e.g., Tableau, Power BI) and SQL is also necessary. Familiarity with big data technologies and cloud platforms is a plus. Excellent communication and interpersonal skills are crucial for collaborating with diverse stakeholders and presenting complex findings. This is a fantastic opportunity to make a significant impact on educational outcomes in a vibrant academic setting.
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