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The Value Maximizer

Data Scientist

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  • Posted 3 days ago
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Job Description

Location: Ho Chi Minh City, Vietnam Workplace Type: Onsite

About The Role

We are seeking a talented and motivated Data Scientist with 2 years of experience to join our growing team in Ho Chi Minh City. As a Data Scientist, you will be responsible for analyzing large datasets, developing and implementing machine learning models, and providing actionable insights to drive business decisions. You will work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to identify opportunities for data-driven innovation and optimization. This role offers a unique opportunity to contribute to a dynamic and fast-paced environment, where you can leverage your analytical skills to make a significant impact on our business. The ideal candidate will possess a strong foundation in statistical modeling, machine learning, and data visualization, as well as excellent communication and collaboration skills. You will be expected to stay up-to-date with the latest advancements in data science and apply them to solve real-world problems. This position is based onsite in our Ho Chi Minh City office, allowing for close collaboration and knowledge sharing with your colleagues. We are looking for a proactive and results-oriented individual who is passionate about data and eager to learn and grow within our organization. If you are a data-driven problem solver with a passion for innovation, we encourage you to apply.

Key Responsibilities

  • Collect, clean, and preprocess large datasets from various sources
  • Develop and implement machine learning models for prediction, classification, and clustering
  • Conduct statistical analysis to identify trends, patterns, and insights in data
  • Visualize data using appropriate tools and techniques to communicate findings effectively
  • Collaborate with cross-functional teams to define business requirements and translate them into data science solutions
  • Evaluate the performance of machine learning models and identify areas for improvement
  • Stay up-to-date with the latest advancements in data science and machine learning
  • Document data science processes and models for reproducibility and maintainability
  • Present findings and recommendations to stakeholders in a clear and concise manner
  • Contribute to the development of data science best practices and standards

Required Skills & Qualifications

  • Bachelor&aposs or Master&aposs degree in Computer Science, Statistics, Mathematics, or a related field
  • 2+ years of experience in data science or a related role
  • Proficiency in Python or R programming languages
  • Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
  • Strong understanding of statistical modeling techniques
  • Experience with data visualization tools such as Tableau or Power BI
  • Excellent communication and collaboration skills
  • Ability to work independently and as part of a team
  • Strong problem-solving skills
  • Experience with SQL and relational databases

Additional Information

This is a full-time position based in our Ho Chi Minh City office. We offer a competitive salary and benefits package, including health insurance, paid time off, and professional development opportunities. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating an inclusive environment for all employees. The successful candidate will be required to undergo a background check. We encourage applications from all qualified individuals. We are looking for someone who is passionate about data and eager to contribute to our team&aposs success. If you are a highly motivated and results-oriented individual, we encourage you to apply. We look forward to hearing from you!

More Info

Industry:Other

Function:Data Science

Job Type:Permanent Job

Date Posted: 03/08/2025

Job ID: 123190117

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