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Open nowPosted 22 days ago

Data Scientist (Kuala Lumpur)

UEM Edgenta36 open roles

Where
WP Kuala Lumpur, Malaysia
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Your applicationOpen nowData Scientist (Kuala Lumpur)UEM Edgenta · WP Kuala Lumpur, Malaysia
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The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. UEM Edgenta postings stay open a median of 28 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.1%7 days
  4. 21.2%14 days
  5. 35.9%30 days
  6. 58.9%60 days
This job: posted 22 days ago

UEM Edgenta median: 28 days open

The posting

Job Description

Responsibilities

  • Analyse large and complex datasets to identify trends, patterns, correlations and business opportunities. Translate analytical findings into actionable insights and recommendations to support business decision-making.
  • Develop, evaluate and optimise statistical models and machine learning algorithms for forecasting, classification, prediction, segmentation and anomaly detection based on business requirements.
  • Explore and develop appropriate AI and advanced analytics solutions, including generative AI applications where relevant, to address business challenges, improve productivity and enhance organisational capabilities.
  • Extract, clean, transform and validate data from multiple sources using appropriate tools and programming techniques. Ensure data quality, consistency and suitability for analysis and model development.
  • Evaluate model accuracy, reliability and business relevance. Collaborate with data engineering, IT and relevant stakeholders to support solution deployment, performance monitoring and continuous improvement.
  • Work with business stakeholders to understand requirements, define analytical approaches and communicate findings through reports, visualisations and presentations. Translate complex technical concepts into clear business recommendations.
  • Keep abreast of developments in data science, machine learning and AI. Identify opportunities to improve analytical methodologies, adopt relevant technologies and promote responsible, secure and effective use of data-driven solutions.

Requirements

  • Bachelor's Degree in Data Science, Statistics, Computer Science, Mathematics, Artificial Intelligence or a related quantitative discipline from a recognised institution.
  • Minimum 2 years of relevant experience in data science, data analytics, statistical modelling or machine learning.
  • Proficient in Python and SQL, with a good understanding of statistical methods, data manipulation, machine learning algorithms and model evaluation. Experience with data visualisation tools, cloud-based analytics platforms or machine learning deployment practices will be an advantage.
  • Strong analytical thinking, problem-solving and communication skills, with the ability to translate business problems into analytical solutions, manage multiple priorities and collaborate effectively with technical and non-technical stakeholders.
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