Senior Data Scientist

1 week ago

Ho Chi Minh City, Ho Chi Minh, Vietnam Robert Walters Full time

About Company:
Start-up (USA-based, building hub in Vietnam)

What you'll do:

  • Collaborating closely with product and engineering teams to identify data-driven opportunities that improve user engagement and product efficiency.
  • Translating business and product objectives into analytical frameworks and modeling problems.
  • Performing exploratory data analysis (EDA) to uncover insights and opportunities for new models or product features.
  • Developing and evaluating statistical, predictive, and generative models using modern ML frameworks.
  • Designing and executing A/B tests to assess the impact of models and product features.
  • Building and maintaining reproducible workflows for data cleaning, feature engineering, and experiment tracking.
  • Working with ML Engineers to productionize, deploy, and monitor models at scale.

What you'll need to apply:

  • Master's degree in Statistics, Computer Science, Mathematics, or a related quantitative field.
  • 3+ years of applied experience in Data Science or Machine Learning roles.
  • Strong programming skills in Python and SQL, and hands-on experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow.
  • Deep understanding of statistical modeling, experimentation design, and causal inference.
  • Familiarity with big data tools like Spark, BigQuery, or Databricks.
  • Excellent analytical and problem-solving skills with a focus on driving measurable impact.
  • Strong communication skills and the ability to collaborate effectively with US-based cross-functional teams.
  • A proactive, ownership-driven mindset typical of fast-paced startup environments.

Why You'll Love Working Here

  • Opportunity to work on cutting-edge ML and generative AI applications, collaborating with talented people coming from FAANG companies.
  • Collaborative, impact-driven culture where your ideas shape real product outcomes.
  • Growth-oriented environment that encourages experimentation and learning.

Due to the high volume of applications we are experiencing, our team will only be in touch with you if your application is shortlisted.

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