GOLDEN ABC, Inc.
Data Scientist
Skills
12 days ago
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Important information
Contract type:
Permanent
Work mode:
Onsite
Published on:
9 October 2026
What they need
The Data Scientist directs analytics projects and activities geared towards improving the retail business of GOLDEN ABC. S/he performs data mining techniques, statistical analysis, and build quality prediction systems relevant to the business.
JOB DUTIES AND RESPONSIBILITIES
- Analyze large amounts of information to discover trends and patterns.
- Design and implement predictive models to support business needs.
- Drive the collection of new data and the refinement of existing data sources.
- Solving business-related problems using data-driven techniques.
- Staying on top of analytical techniques such as machine learning, deep learning and text analytics.
- Build and maintain a large-scale analytics infrastructure to be used across the business.
- Collaborate with other business units to address successful predictive data models.
QUALIFICATIONS
- Graduate of BS Mathematics, Statistics, Economics, Engineering, Computer Science or related field. Preferably with a Master’s Degree
- With experience as data scientist for at least 3 years. Preferably in a retail company
- Knowledgeable in advanced statistical techniques, programming languages and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
- Good knowledge in advanced analytics; forecast modelling, or customer analytics
- Must know how interpret business data and translate into insightful recommendations
- Must have advanced knowledge in all Microsoft Office Applications and not limited to new software applications
- Knowledge in programming languages such as but not limited to preferably in different programming languages such as Python, R, Java, Clojure, Matlab, Pig or SQL
- Excellent critical thinking, analytical and problem-solving skills
- Strong organizational and interpersonal skills
- Strong written and verbal communication skills
- Ability to balance multiple projects simultaneously and meet set deadlines
- Adaptable and agile
- Customer focused and results-driven
- Has the drive to learn and master new technologies and techniques
- Should be a thinker who can ask the right (business) questions
- Can be trusted with data confidentiality
- Must be highly motivated and be able to work both independently and in a team environment
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