Data Scientist

6 days ago

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.
- Hands-on 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 Non-linear models
- Experience of working with supervised and unsupervised machine learning modelling, primarily forecasting, clustering and classification techniques (Regression, Random Forest, SVM, XGBoost etc.)
- Good hands-on 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 know-how of implementing Self-Learning AI models (Reinforcement Learning) and have capability leveraging in implementation of use cases

Pay: RM15,000.00 - 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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