Data Science Expert
Home Credit
hace 2 días


1. Infrastructure development :

  • Develop technical solutions in Python, SQL packages and DWH structures to accommodate new business requirements
  • Make advanced data models for data-driven decisions, analyze data from multiple angles from multiple sources, exam existing business status, look for trends that highlight problems or opportunities, predictions
  • Optimization of runtime of key process in and limit generation processes
  • Build and maintaining large-scale data infrastructure in the cloud platform.
  • 2. Projects :

  • ML projects for strategical purpose of RD
  • New data sources modeling creation of new models of new Big Data
  • Data Mining, Feature Engineering, Unsupervised Learning
  • Analyzing and proposal of risk processes taking in account needs of business
  • Proposing end to end risk solution with deep analytical support
  • Leading implementation of risk projects
  • 3. Team management

  • Sharing knowledge with junior positions in team
  • Managing work of junior position in team
  • Contact : Ms Hanh Vu - HR

    Email : hanh.vh

    Phone : +84 28 3513 6868 - EXT : 11093

    1. Language :

  • Proficiency in English
  • Ability to formulate, explain and discuss topics connected to business area
  • 2. Experience :

  • Strong Python, Java, Scala, SQL.
  • Experience in Big Data technologies like Hadoop, Hive, Spark, real-time streaming.
  • Experience in architecting, building and maintaining large-scale data platform.
  • Experience in solving data quality problems to delivery best result.
  • Experience with statistical software (Python, SAS, SPSS, Matlab, R, ) , analysis and modelling.
  • Risk background
  • 3. University degree from quantitative discipline, preferably from statistics, mathematics, economy


  • 13th Salary Fixed and KPI Bonus
  • PVI Health Care
  • 24 / 7 Accidental Insurance
  • 100% Social Insurance Pay
  • Meal + Phone Allowance
  • Yearly Medical Checkup
  • 15 Annual Leaves
  • Professional and Transparent Working Environment.
  • Apply Latest Financial Technology in the World
  • Chance to Provide Training and Be Trained Onsite at Home Credit in 11 countries.
  • Office hour
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