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Open nowPosted 87 days ago

Data Scientist

Workable (global search)108,016 open roles

Where
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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Your applicationOpen nowData ScientistWorkable (global search) · Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 87 days ago

Workable (global search) median: 7 days open

The posting

Job responsibilities: - Analyze complex datasets to identify trends, patterns, and insights that drive business decisions. - Develop and implement machine learning models and algorithms to solve business problems. - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. - Design and maintain data pipelines and ETL processes to ensure data quality and accessibility. - Communicate findings and insights to stakeholders through visualizations and reports. - Stay updated with the latest industry trends and technologies to continuously improve data science practices.

Job requirements: - Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. - Proven experience as a Data Scientist or in a similar role, with a strong portfolio of projects. - Proficiency in programming languages such as Python, R, or SQL. - Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. - Strong analytical and problem-solving skills with the ability to interpret complex data. - Excellent communication skills to effectively convey technical information to non-technical stakeholders.

Job benefits: - Competitive salary and performance-based bonuses. - Comprehensive health and wellness benefits package. - Opportunities for professional development and career advancement. - Flexible working hours and remote work options. - Collaborative and inclusive work environment. - Access to the latest tools and technologies in data science.

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