164 AI Technologies jobs in Vietnam
Graduate Trainee - Data Science
Posted today
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Graduate Trainee - Data Science
Posted 2 days ago
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Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Develop and implement machine learning models under guidance.
- Evaluate model performance and provide insights for improvement.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior data scientists on various projects.
- Learn and apply data science methodologies and tools.
- Document analysis processes and model development steps.
- Contribute to team discussions and knowledge sharing.
- Support data-driven decision-making across the organization.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python or R programming languages.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Excellent analytical and problem-solving skills.
- Good communication and presentation skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- A strong desire to learn and grow in the field of data science.
Remote Junior Data Science Apprentice
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Responsibilities:
- Assist senior data scientists in data cleaning, preprocessing, and feature engineering.
- Develop data visualizations and dashboards to communicate insights effectively.
- Write and execute code for data analysis and statistical modeling using Python or R.
- Support the development and implementation of machine learning models.
- Collaborate with team members on data-driven projects and problem-solving.
- Learn and apply best practices in data science methodologies and tools.
- Document code and project findings clearly and concisely.
- Participate in regular training sessions and team meetings.
- Basic understanding of statistics, mathematics, and programming concepts.
- Familiarity with Python or R programming languages is a plus.
- Eagerness to learn data science principles and machine learning techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent demonstrable experience.
Remote Data Science Graduate Intern
Posted 2 days ago
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Remote Graduate Trainee - Data Science
Posted 2 days ago
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Responsibilities:
- Assist in data cleaning, preprocessing, and feature engineering.
- Support the development and implementation of machine learning models.
- Perform exploratory data analysis and generate visualizations.
- Collaborate with senior data scientists on various analytical projects.
- Contribute to data pipeline development and maintenance.
- Research and evaluate new data science techniques and tools.
- Assist in the preparation of reports and presentations on analytical findings.
- Participate in team meetings and knowledge-sharing sessions.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong foundation in statistical analysis and machine learning concepts.
- Proficiency in Python or R programming.
- Experience with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with SQL for database querying.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities, suitable for a remote environment.
- Eagerness to learn and adapt in a fast-paced field.
Remote Graduate Trainee - Data Science
Posted 2 days ago
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Key responsibilities include:
- Assisting in data collection, cleaning, and preprocessing from various sources.
- Performing exploratory data analysis to identify patterns and trends.
- Developing and implementing statistical models and machine learning algorithms.
- Collaborating with team members to understand data requirements and project goals.
- Visualizing data and results using tools like Tableau, Power BI, or Matplotlib.
- Documenting code, methodologies, and findings.
- Participating in team meetings and contributing to project discussions.
- Learning and applying new data science techniques and tools.
- Supporting the development of data-driven solutions and reports.
- Assisting in the validation and testing of models.
Remote Graduate Trainee - Data Science
Posted 2 days ago
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Responsibilities:
- Assist in data collection, cleaning, and pre-processing from various sources.
- Develop and implement machine learning models and algorithms.
- Analyze large datasets to identify trends, patterns, and insights.
- Create data visualizations and reports to communicate findings.
- Collaborate with senior data scientists on project tasks.
- Participate in code reviews and contribute to data pipelines.
- Learn and apply new data science techniques and tools.
- Present project results to team members and stakeholders.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning techniques.
- Proficiency in Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills for remote work.
- Eagerness to learn and adapt in a fast-paced environment.
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Remote Graduate Trainee - Data Science
Posted 2 days ago
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Key Responsibilities:
- Assist senior data scientists in data collection, cleaning, and preparation for analysis.
- Perform exploratory data analysis to identify patterns and trends.
- Develop and implement statistical models and machine learning algorithms under supervision.
- Create data visualizations and reports to communicate findings to stakeholders.
- Collaborate with cross-functional teams to understand business requirements and data needs.
- Participate in code reviews and contribute to the development of data science pipelines.
- Stay updated with the latest advancements and best practices in data science and machine learning.
- Contribute to the documentation of data science projects and methodologies.
- Engage in learning activities and training sessions provided by the company.
- Support the broader data science team in ad-hoc analytical tasks.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, 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.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn).
- Excellent analytical and problem-solving skills.
- Good communication and interpersonal skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Attention to detail and a commitment to data accuracy.
- A portfolio of personal data science projects is a plus.
Unit Head of Data Science
Posted today
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OBJECTIVES
Manage the Data Science Unit to design, prototype, and build models - which act as engines for all the use cases as well as maintains models including updates on monthly basis to support use cases.
COMMUNICATION
- Internal**:all departments
- Testing prototypes & gathering high-level input for model design with related department
- Coordinates with enabling function to ensure Data Science runs smoothly
- External**:vendors/ outstaffs
Coordinates with enabling function to ensure Data Science runs smoothly
KEY RESPONSIBILITIES
1. Day-To-Day Activities
- Lead execution of overall departmental strategy in Data Science Unit for designing end-to-end analytics models
- Lead the ideation & ensure that these models create value for business units
- Mentor and help develop technical competency of assigned team members. Define complex technical design/requirements for data reporting and analysis projects
- Be responsible for implementing and deploying scalable solutions; maintains models
- Undertake other tasks assigned by Head of Advanced Analytics Department.
2. Planning / Budgeting
- Support Head of AA Department in annual planning/budgeting for the unit
- Provide action plan to implement aligned with the overall strategy and agenda of the AA Department in term of Data Science
3. People Management
- Provide the team management with respect to their work, training, satisfaction level and technical/functional skills enhancement
- Enable separate teams for the functional specialization of the unit
- Be in charge of training & retaining high quality analytics talent and ensuring sustainable growth of the unit
**Yêu Cầu Công Việc**:
- Bachelor's degree or equivalent in quantitative field (Engineering, Statistics, Mathematics, Sciences, Finance)
- Master’s degree in business/economics is a plus
- 3 years’ experience in a statistical and/or data science role
- Project management experience of leading medium sized analytics team and created positive value through analytics
- Excellent interpersonal skills, strong verbal and written communications skills
- Team oriented, goals oriented, and flexible with proven track record in collaborating with multiple stakeholders and result delivery
- Expert understanding of lending & cards business
- Expert in business reporting & financial modeling
- Expert in translating business cases to technical
- Deep knowledge of machine learning, statistics, optimization or related fields
- Extensive experience with SAS, Matlab, Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, Alteryx and SQL
- Language proficient in one of: R, Python
Job tags: Unit Head Of Data Science data science data modeling R Python Data Analytics
Remote Graduate Research Assistant (Data Science)
Posted 2 days ago
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Responsibilities:
- Assist in collecting, cleaning, and preparing datasets for analysis.
- Perform statistical analysis and develop predictive models.
- Visualize data to identify trends and patterns.
- Collaborate with researchers on data-driven projects.
- Document methodologies and findings clearly.
- Utilize programming languages (Python, R) for data manipulation and analysis.
- Stay updated on emerging data science techniques and tools.
- Contribute to research reports and presentations.
Qualifications:
- Currently pursuing a Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Math, etc.).
- Strong foundation in data science, machine learning, and statistical modeling.
- Proficiency in programming languages like Python or R.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and contribute to research projects.