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We are seeking a Data Scientist with a passion for ML/AI. The ideal candidate should have a good foundation in Python, data science, ML/AI, and statistical analysis.
Job Responsibility:
Develop and implement statistical/ML/AI models for problems related to NLP/prediction, classification
Collect, clean, and preprocess structured and unstructured data from various sources
Perform exploratory data analysis (EDA) and visualization to gain insights
Implement AI models using frameworks like TensorFlow, PyTorch, or Scikit-learn
Deploy models using APIs or cloud-based solutions
Collaborate with software engineers and business teams to integrate AI models into production systems
Stay updated with the latest trends and advancements in ML/AI.
Requirements:
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, AI, or a related field
Programming Languages: Python (required)
Machine Learning & AI: Familiarity with at least one of libraries Scikit-learn, TensorFlow, or PyTorch
Data Processing: Pandas, NumPy, SQL
Data Visualization: knowing the concept
Experience at least 6 month
Fluent English
Good Vietnamese & English skills (written & spoken)
Good analytical skills and great attention to detail
Excellent interpersonal skills, strong problem-solving abilities, passion and orientation in big data analysis.
Nice to have:
Having experience on PowerBI is a plus
Cloud service knowledge is a plus
Hands-on experience in working with real-world datasets is a plus.
What we offer:
Vietnam labor regulations
Healthy Insurance
Competitive and high salary
Review salary twice a year (April and October (exceptional))
13th month-salary
Reward of the end the year
Raised on for achieving English and Technical certificates
Career Path clearly
Projects in many domain
Everyone is willing to support each other
Trained soft skills and SCRUM/Agile
Taking part in a clear, pre-defined training path along the career path on Microsoft Learning platform, PluralSight, etc.
Evaluating skill progress via courses’ exams
Utilize unlimited courses on training platforms to broaden your own knowledge and competency
Real environment provided (Cloud credit, software/tools licenses, etc.) for R&D and practice
Office happy hours, Teambuilding, Company trip, Wedding, Birthday, …