303 Senior Data Scientist jobs in Vietnam
Senior Data Scientist
510000 Hoa Sơn
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Our client is seeking a highly skilled and experienced Senior Data Scientist to join their innovative research and development team in **Da Nang, Da Nang, VN**. This role is critical in leveraging advanced analytics, machine learning, and statistical modeling to extract actionable insights from complex datasets, driving data-informed decision-making across the organization. You will be responsible for the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and deployment. Key responsibilities include identifying business challenges that can be solved with data, designing and implementing predictive models, and communicating findings to both technical and non-technical stakeholders.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a minimum of 6 years of experience in data science and machine learning. Proficiency in programming languages such as Python or R, along with extensive experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and data manipulation tools (e.g., SQL, Spark) is mandatory. A strong understanding of statistical modeling, experimental design, and data visualization techniques is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. This hybrid role requires a balance of on-site collaboration for brainstorming and team meetings in **Da Nang**, and remote flexibility for focused analysis and model building. You will mentor junior data scientists, contribute to the development of best practices, and stay abreast of the latest advancements in the field. Your work will directly contribute to the company's research initiatives, enabling breakthroughs and innovations. The ability to translate complex technical concepts into clear business recommendations is a key requirement for this position. You will be expected to lead projects, manage timelines, and ensure the quality and scalability of the solutions developed.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a minimum of 6 years of experience in data science and machine learning. Proficiency in programming languages such as Python or R, along with extensive experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and data manipulation tools (e.g., SQL, Spark) is mandatory. A strong understanding of statistical modeling, experimental design, and data visualization techniques is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. This hybrid role requires a balance of on-site collaboration for brainstorming and team meetings in **Da Nang**, and remote flexibility for focused analysis and model building. You will mentor junior data scientists, contribute to the development of best practices, and stay abreast of the latest advancements in the field. Your work will directly contribute to the company's research initiatives, enabling breakthroughs and innovations. The ability to translate complex technical concepts into clear business recommendations is a key requirement for this position. You will be expected to lead projects, manage timelines, and ensure the quality and scalability of the solutions developed.
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Agricultural Data Scientist
700000 An Thanh
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Our client is at the forefront of agricultural innovation and seeks a dedicated Agricultural Data Scientist to join their team in **Ho Chi Minh City, Ho Chi Minh**. This role is critical for analyzing vast amounts of agricultural data to optimize crop yields, improve resource management, and enhance sustainable farming practices. The ideal candidate will have a strong background in data science, statistics, and a keen interest in agriculture. You will work closely with agronomists, farmers, and operations teams to implement data-driven solutions. Responsibilities include collecting, cleaning, and preprocessing data from various sources, including sensor networks, satellite imagery, weather stations, and farm management systems. You will develop predictive models for crop growth, disease outbreaks, and yield forecasting. Additionally, you will create data visualizations and reports to communicate findings and recommendations to stakeholders, helping them make informed decisions about planting, irrigation, fertilization, and pest control. A minimum of 3 years of experience in data science or a related analytical role is required, with a preference for experience in the agricultural sector. A Bachelor's degree in Data Science, Statistics, Agronomy, Computer Science, or a related quantitative field is essential. Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., scikit-learn, TensorFlow) are mandatory. Familiarity with big data technologies and database management (SQL) is also important. Strong communication and collaboration skills are needed to effectively convey technical insights to non-technical audiences. If you are passionate about leveraging data to transform agriculture, this is an exciting opportunity.
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Graduate Data Scientist
06000 Nam Dinh , Nam Dinh
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Our client is looking for bright and ambitious Graduate Data Scientists to join their innovative and fully remote team. This program offers an unparalleled opportunity for recent graduates to immerse themselves in the world of data science, contributing to cutting-edge projects and developing essential skills. As a remote-first organization, we foster a collaborative environment where you can learn and grow from anywhere. The successful candidates will work with large, complex datasets, applying statistical analysis, machine learning algorithms, and data mining techniques to extract valuable insights. Responsibilities include data cleaning, feature engineering, model development, and validation. You will be involved in building predictive models, designing experiments, and creating data visualizations to communicate findings to both technical and non-technical stakeholders. Proficiency in programming languages like Python or R, along with libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch, is essential. Experience with SQL and database management is also required. The program will provide exposure to various machine learning techniques, including regression, classification, clustering, and deep learning. You will learn to interpret model results, assess their performance, and deploy them into production environments. Collaboration with senior data scientists and cross-functional teams will be a key aspect of your role. The ideal candidate possesses strong analytical and quantitative skills, a passion for problem-solving, and a keen interest in machine learning and artificial intelligence. Excellent communication skills and the ability to work effectively in a remote team setting are crucial. Candidates should have recently completed a Master's or PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field. Prior internship experience in data science or a related area is a strong plus. This is an exciting chance to gain hands-on experience in a dynamic, remote work environment and contribute to meaningful data-driven projects. Join our client's team and help us unlock the power of data.
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Agricultural Data Scientist
94000 Can Tho , Can Tho
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Our client is a visionary agricultural technology company seeking an innovative Agricultural Data Scientist for their fully remote team. This role is pivotal in leveraging data analytics to drive improvements in crop yield, resource management, and sustainable farming practices. You will be responsible for collecting, cleaning, and analyzing vast datasets from various agricultural sources, including sensors, drones, satellite imagery, and historical yield data. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, with a proven ability to extract meaningful insights from complex agricultural data. Key responsibilities include developing predictive models for crop health, pest infestation, and weather patterns; optimizing irrigation and fertilization strategies; and creating data-driven recommendations for farmers. You will also collaborate with agronomists and researchers to validate models and implement practical solutions in the field. Proficiency in programming languages such as Python or R, along with experience in SQL databases and big data technologies, is essential. Strong problem-solving skills, excellent communication abilities, and a passion for agricultural innovation are required. This is a unique opportunity to contribute to the future of sustainable agriculture through advanced data science in a remote, flexible work environment.
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Graduate Data Scientist
071000 Rach Gia, Kien Giang
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Our client is seeking an ambitious and bright Graduate Data Scientist to join their innovative analytics team. This is an exceptional internship opportunity designed for recent graduates eager to launch their career in data science. You will gain hands-on experience in applying advanced analytical techniques, machine learning algorithms, and statistical modeling to real-world business challenges. This role offers significant mentorship and learning opportunities within a supportive and dynamic environment.
As a Graduate Data Scientist, you will:
Qualifications:
As a Graduate Data Scientist, you will:
- Assist senior data scientists in developing and implementing predictive models using machine learning techniques.
- Perform data cleaning, preprocessing, and feature engineering on large datasets.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop and visualize data insights through dashboards and reports.
- Collaborate with engineering teams to integrate data science models into production systems.
- Research and evaluate new data science methodologies and tools.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Support the development of A/B testing frameworks and analyze experiment results.
- Document methodologies, code, and findings clearly and comprehensively.
- Learn and apply various statistical techniques and machine learning algorithms, including regression, classification, clustering, and deep learning.
- Work with large datasets from diverse sources, ensuring data quality and integrity.
- Assist in the interpretation of model results and their business implications.
- Gain exposure to big data technologies and cloud platforms.
- Develop skills in data visualization tools such as Tableau or Power BI.
- Contribute to the continuous learning and improvement of the data science practice.
Qualifications:
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Familiarity with SQL for data extraction and manipulation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Good communication and interpersonal skills, with the ability to explain technical concepts.
- Eagerness to learn and a proactive attitude towards acquiring new skills.
- Ability to work collaboratively in a team environment.
- Prior internship or project experience in data science is a plus.
- Knowledge of data visualization tools is advantageous.
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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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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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