20 Statistical Modeling jobs in Vietnam
AI/ML Engineer - Predictive Modeling
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Key Responsibilities:
- Designing, building, and deploying machine learning models for predictive analytics, forecasting, and pattern recognition.
- Collecting, cleaning, and transforming large datasets for model training and evaluation.
- Implementing various machine learning algorithms, including regression, classification, clustering, and deep learning techniques.
- Evaluating model performance, optimizing hyperparameters, and ensuring the robustness and scalability of solutions.
- Collaborating with data scientists, software engineers, and business stakeholders to understand requirements and integrate ML solutions into products and workflows.
- Developing and maintaining data pipelines and MLOps infrastructure for model deployment and monitoring.
- Staying current with the latest advancements in AI, machine learning, and related fields.
- Researching and experimenting with new algorithms, tools, and frameworks.
- Documenting model designs, code, and results thoroughly.
- Contributing to the company's intellectual property and thought leadership in AI.
The ideal candidate will hold a Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. A minimum of 5 years of hands-on experience in developing and deploying machine learning models in a production environment is required. Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) is essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable. Excellent understanding of statistical modeling, data mining, and feature engineering techniques is a must. Proven ability to work with large, complex datasets and extract meaningful insights is required. Strong programming skills, excellent problem-solving abilities, and effective communication skills are crucial. Experience with MLOps practices and tools is a significant advantage. Join us and be at the forefront of AI innovation.
Principal Data Scientist - Predictive Modeling
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Senior Data Scientist - Predictive Modeling
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Data Analysis
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(Mức lương: Thỏa thuận)
- Design dashboard in collaboration with data scientist, business analyst, and data engineer
- Prepare data for use in dashboard.
- Establish connections with backend/data source
- Publish dashboard
- Establish refresh mechanisms for information refresh in dashboard.
**Chức vụ**: Nhân Viên/Chuyên Viên
**Hình thức làm việc**: Toàn thời gian
**Quyền lợi được hưởng**:
- Package: 14 salary months + Project bonus (If any) + Extra package: 16M/year
- Young and dynamic working environment.
- Continuous development of hard and soft skills through work and professional trainings.
- Opportunity to approach newest technology trends
- Exciting leisure: sport and art events (football club, family day )
- Company’s labor policy completely pursuant to Vietnamese laborlegislation plus other benefits offered by the company (Company trip, Holiday, etc.)
**Yêu cầu bằng cấp (tối thiểu)**: Trung cấp - Nghề
**Yêu cầu công việc**:
- Experience in developing dashboards for data analytics use cases using tool Oracle Data Analytic (OAS) more than 2 years.
- Experience in designing data model using Erwin more than 2 years
- Ability to query and display large data sets while maximizing the performance of dashboard
- Ability to interpret technical or dashboard structure and translate complex business requirements to technical specifications
- High-level competency in Excel (macros, pivot tables, etc.)
- Understanding of advanced calculations and statistical functions
- A solid understanding of SQL, PLSQL, relational database management system, data modeling, and normalization
- Experience more than 2 years in role Data analyst for banking/financial area.
**Yêu cầu giới tính**: Nam/Nữ
**Ngành nghề**: CNTT - Phần Mềm,Data Analytics,SQL
Trung cấp - Nghề
Không yêu cầu
Data Analysis
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(Mức lương: 12 - 14 triệu VNĐ)
Working Time: 08:00 - 17:00 (Mon to Sat)
- Make daily collecting, analysing, evaluating and reporting data
- Ensure data accuracy, integrity, and consistency across multiple system
- Design, develop and maintain dashboards
- Make reports, and visualizations data
- Develops ad-hoc analysis on request
**Chức vụ**: Nhân Viên/Chuyên Viên
**Hình thức làm việc**: Toàn thời gian
**Quyền lợi được hưởng**:
- Salary + KPI + Bonus: 12.000.000 - 14.000.000 VND/month
- The company guarantees full benefits of Social insurance, Health insurance, Unemployment insurance.
- Enjoy the full benefits of the law such as insurance, holidays, Tet awards, etc.
- A professional working environment, full of modern facilities, facilities, etc.
- Team building, Year End party, internal activities, ect.
**Yêu cầu bằng cấp (tối thiểu)**: Đại Học
**Yêu cầu công việc**:
- Bachelor degree
- Strong MS office and Power BI
- At least 1 year experience in data analysis
- Good communication in English
- Ability to work on multiple projects at the same time
**Yêu cầu giới tính**: Nam/Nữ
**Ngành nghề**: CNTT - Phần Mềm,Data Analytics
Đại Học
1 - 2 năm
Graduate Trainee - Data Analysis
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- Assist in data collection, extraction, and cleaning from various sources.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Develop and maintain reports and interactive dashboards using business intelligence tools.
- Support senior analysts in analyzing complex datasets and generating insights.
- Assist in the development of data models and analytical solutions.
- Learn and apply statistical methods for data analysis.
- Ensure data accuracy and integrity throughout the analysis process.
- Collaborate with team members to understand data requirements and deliver findings.
- Participate in training sessions and workshops to enhance technical and analytical skills.
- Contribute to documentation of data processes and analytical methodologies.
- Support the team in presenting data findings to stakeholders.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel is essential.
- Familiarity with data analysis tools and programming languages such as SQL, Python (with libraries like Pandas, NumPy), or R is a significant advantage.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent attention to detail and commitment to data accuracy.
- Strong communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in data analysis and business intelligence.
Apprenticeship in Data Analysis
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Remote Geoscientist - Data Analysis
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Qualifications:
- Master's degree or Ph.D. in Geoscience, Geology, Geophysics, or a related field with a strong emphasis on data analysis.
- Minimum of 5 years of professional experience in geological data analysis, interpretation, and modeling.
- Proficiency in geological software packages (e.g., Petrel, Leapfrog, ArcGIS) and data analysis tools.
- Strong programming skills in Python or R for data manipulation and analysis.
- Excellent understanding of geological principles and exploration techniques.
- Proven ability to work independently and manage projects remotely.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Strong written and verbal communication skills for effective remote collaboration.
- Demonstrated experience in report writing and presentation of technical data.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Graduate Trainee - Data Analysis
Posted 2 days ago
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Key Responsibilities:
- Assist in data collection, cleaning, and pre-processing from diverse sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and implementation of data models and algorithms.
- Create data visualizations and dashboards to communicate findings.
- Contribute to the preparation of analytical reports and presentations.
- Collaborate with senior analysts and data scientists on ongoing projects.
- Learn and apply statistical techniques and machine learning concepts.
- Assist in maintaining data quality and integrity.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
- Strong analytical and quantitative skills with a passion for data.
- Proficiency in at least one programming language (e.g., Python, R).
- Basic knowledge of SQL for database querying.
- Familiarity with data visualization tools is a plus.
- Excellent problem-solving abilities and attention to detail.
- Strong written and verbal communication skills in English.
- Ability to work independently and effectively in a remote team environment.
- Eagerness to learn and adapt to new technologies and methodologies.