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Senior Data Scientist - DataX

Senior Data Scientist - DataX - October 26, 2021

About Us

Data X is a new venture of the Siam Commercial Bank holdings, a leading financial services and digital services holdings in Thailand and ASEAN.

With our leading-edge cloud native data & AI platform, Data X empowers the holding’s companies and partners with big data analytics and data science, with a vision of providing everyone in our region with the opportunity to prosper.

For a data scientist, working with Data X is a unique opportunity to be exposed to a variety of different businesses and disciplines along with their different data and business needs.

On your day-to-day work you will change the way people run their lives and help our customers to grow, improve and expand to new exciting domains. Your voice will be heard, you career will make a leap, and you will be able to make a difference in a business that touches many millions in every hour of the day!

We move fast, work on tough problems, collaborate with experts in many different domains, embrace diversity and all that while having a good laugh and joy in work.

Your Responsibilities

  • Recruit, lead and grow young data scientists and data science teams.
  • Build state of the art models and algorithms and deploy analytical solutions to support operations and business decisions.
  • Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
  • Work with Engineering teams to implement end-to-end process from model development to testing, validation, deployment and lifecycle support.
  • Work with developers and business owners to deliver daily results with the best quality.
  • Research, study and develop new tools and new frameworks to enhance our data science capabilities and drive our customers’ data mind set and strategy.
  • Discover and harness new ideas to fertilize new discoveries that can make a difference.


The Musts

  • Open-minded customer focused quick learner with Strong analytical problem-solving capabilities and desire to explore and keep up with the latest technologies.
  • Bachelor’s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
  • 3+ years hands-on experience as a data scientist / statistician / machine learning engineer with understanding of ML/AI and related software libraries.
  • Hands on experience with Deep Learning frameworks like Keras, TF, PyTorch or others.
  • Excellent Proficiency in SQL and languages like Python and PySpark or Scala.
  • Knowledge in statistics and probability, e.g., hypothesis testing, statistical tests, regression as well as in machine learning
  • Independent as well as great team player with good communication and interpersonal skills for working in English in a multicultural work environment.

Great if you have

  • Master’s or PhD degree in a quantitative discipline
  • Experience applying machine learning, optimization and statistical methods to large datasets in financial services, telecom, logistics, digital marketing, customer relationship, payments and risk management.
  • Experience in one or more specialized machine learning areas, e.g., NLP, deep learning, recommendation systems, computer vision, conversational AI, and reinforcement learning
  • Experience in working with MS Azure stack, MS Power BI and Databricks.
  • Outstanding coding skills or software development background.



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