Data Scientist

2 weeks ago

Kuala Lumpur, Kuala Lumpur, Malaysia Horizon Corp Full time
Minimum 5-10 years of experience
- spanning various exposure areas

  • Proven ability to work with multi cultural, multi location teams
  • Experience in large IT project implementation related to Supply Chain management, factory scheduling, big data data lake architectures is a plus
  • Proven track record of ability to ideate, develop unique solutions using data science
  • Good knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industry
  • Ability to bring cross industry learning to benefit the use cases aimed at improving manufacturing process at ABC
  • Problem Scoping/definition Skills:
  • Possess agility and awareness to identify value opportunities and create a business use case
  • Experience in problem scoping, solving, quantification
  • Ability to foresee and identify all right data required to solve the problem
  • Data Wrangling Skills:
  • Strong skill in data mining, data wrangling techniques for creating the required analytical dataset
  • Adaptive mindset to improvise on the data challenges and employ techniques to drive desired outcomes
  • Programming Skills:
  • Advanced working knowledge with Python
  • Big data programming platforms such as pyspark, SparkSQL, Spark ML, Spark Graph etc.
  • Handson experience in database query language such as Oracle-SQL
  • Visualization Skills
  • Experience of using visualization tools (Spotfire is a plus)
  • Good storytelling skills to present the data in simple and meaningful manner
  • Data Science Skills
  • Strong skill in data analysis techniques to generate finding and insights by means of exploratory data analysis
  • Good knowledge on Univariate/Multivariate analysis techniques to understand and derive hidden and meaningful pattern out of the data
  • Knowledge on right sampling techniques
  • Experience in working on dimensionality reduction
  • Ability to work with highly Imbalance/skewed data set and experience of implementing rare event modelling techniques
  • Experience in implementing statistical modelling techniques both Linear and Nonlinear models
  • Experience of working with supervised and unsupervised machine learning modelling, primarily forecasting, clustering and classification techniques (Regression, Random Forest, SVM, XGBoost etc.)
  • Good handson experience with hyperparameter tuning, grid search and model accuracy measurement techniques
  • Knowledge in implementing right ensemble modelling techniques for better accuracy and outcome
  • Right implementation knowledge on Deep learning models including image and video processing
  • Minimum knowhow of implementing Self-Learning AI models (Reinforcement Learning) and have capability leveraging in implementation of use cases

Pay:
RM15, RM20,000.00 per month

Benefits:

  • Professional development

Schedule:

  • Day shift

Supplemental pay types:

  • Commission pay

Experience:

  • Supply chain management: 4 years (preferred)
  • Data analysis skills: 5 years (preferred)

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