data scientist in Kuala Lumpur

posted
contact
desiree faye mu fuiling, randstad
job type
permanent

job details

posted
location
kuala lumpur, wilayah persekutuan
specialism
information technology
job type
permanent
working hours
Full-Time
experience
3 years
reference number
91M0137283_1566556852
contact
desiree faye mu fuiling, randstad

job description

Data Scientist

  • KL Location (walking distance from the LRT station)
  • International tech company
  • Enterprise-level project


about the company

An international technology company that integrates Artificial Intelligence and Machine Learning solutions for their blue-chip clients globally.


about the job

You are responsible for conceptualizing, implementing, and evaluating methods and models to assure quality results throughout the company’s platform and across a variety of customer-relevant data types.

Key Responsibilities

  • Improve or implement new methods and models for result confidence assessments, user reputation assessment and tracking, detecting user behaviour anomalies (e.g., fatigue or fraud), and quality control for user-generated results
  • Implement and enhance platform monitoring and alerting capabilities with respect to result quality and user reputation
  • Characterize input and output (result) data (e.g., in terms of distributions compared to expectations)
  • Apply machine learning to enhance decision support for platform users and internal stakeholders
  • Work closely with team members to develop insights and innovative approaches

about the manager / team

This role is for you if you enjoy and excel in working within an agile and international team, and working in a company where support is given to help employees to achieve their full potential in their career.

skills & experience required

  • Masters or Ph.D. degree in Statistics, Mathematics, Engineering, Computer Science, or related field with coursework relevant to data analysis
  • 3+ years of experience with data analysis using statistical approaches
  • Strong skills in statistics and probability including classic statistical quality control
  • Advanced programming skills in Python and SQL
  • Experience visualizing and presenting data for a variety of audiences (e.g., end-user or executive)
  • Experience with scientific data analysis and visualization libraries (e.g., pandas numpy matplotlib scikit-learn)

If you are on the look out to work in a progressive and forward thinking environment, kindly send your latest CV to us by applying or give us call for a confidential discussion.

Desiree Mu | Randstad | 03 2036 7550



skills

no additional skills required

qualification

no additional qualifications required

educational requirements

Master's Degree