160 Predictive 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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Graduate Trainee - Data Science
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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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Job Description
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.