Senior Data Scientist

freeC's Client
20 - 60 mil VND
Hồ Chí Minh, Thành phố Hồ Chí Minh, Việt Nam
Full time
Published 14/09/2021

Job Description

  • Work with data science team(s), which includes Data Scientists, ML Engineers, Data Engineers and Analysts to create / design, optimize, build, and implement robust, secure, and scalable, applied machine learning algorithms.
  • Design and build data driven systems for sales forecasting, lapse predictions, risk control, fraud detection, recommendation, customer segmentation, dynamic pricing etc.
  • Optimize/ fine-tune, Improve the scalability, design, and robustness of existing ML algorithms, and techniques.
  • Work with backend engineers, software engineers / data engineers / data architects to architect data storage and processing pipelines.
  • Build, validate, test, and deploy models and algorithms including developing infrastructure that can support training a verity of different backends
  • Work with product managers/ project managers or with multiple business units to develop new product features based on insights from data.
  • Partner/ collaborate with a larger data science team including Data Scientists, Data Engineers, and Analysts to optimize business performance through optimizing ML algorithms.
  • Stay up to date in advanced ML / AI/DL research and, ideas and software


- Education:

  • BSc/ MSc or PhD in STEM field (Computer Science, Mathematics, Physics, Electrical Engineering, Machine Learning, Artificial Intelligence, etc...), evidence of strong mathematical and programming background (i.e. probability , statistics, optimization algorithms, computational complexity)

- Experience:

  • At least three years of hands-on experience or BSc (3 years+ for MS or Higher ) in Vietnam in designing, developing and implementing large scale robust ML algorithms in areas such as propensity modeling, credit scoring, fraud detection, user -behavior modeling,NLP, sales prediction, recommendation systems and computationally intensive processes (i.e.: large scale Optimization / Simulation).
  • Hands-on experience in applying statistical techniques such as regression, classification, clustering, survival analysis and experimentation in industry.
  • Hands-on experience working in an agile environment and using MLOps / DevOps.
  • Hands-on experience in translating analytical insights to clear business recommendations.
  • Hands-on experience in launching production-sized machine learning models at scale.
  • Hands-on experience working with diverse software engineering teams and collaborating with data engineering, solution architects, data architects, cloud architects etc..
  • Solid experience in working with business teams and translating algorithm/model results to actionable business experience.

-Personal skills:

  • Deep expertise in ML theory/ techniques and algorithms, Python and its machine learning libraries and frame works such as scikit-learn, XGBoost, Pandas, TensorFlow, PyTorch, Keras, etc.
  • Ability to quickly learn new skills and technologies and apply those skills to solve business problems. Strong problem-solving skills and a Data-driven mindset with an emphasis on product development.
  • Proficient in using MS Azure and Data bricks services for end-to-end Machine Learning projects.
  • Solid programming skills in Python, SQL, R/Java/ Scala / C/C++or C# and in computer science fundamentals (data structures/algorithms, OOP, design patterns, and software engineering methodologies).
  • Comfortable in debugging unfamiliar codebase.
  • Sound knowledge in database systems, data engineering and data management techniques. Specially working with cloud-based systems and writing / configuring data pipelines.
  • Good written and verbal communication skills for coordinating across teams

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