Data Scientist
At a glance
Mid-level Data Science role at Fuku. Kuala Lumpur · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Find patterns in complex datasets and use the results to inform business decisions
- Build machine learning models and algorithms that address business problems
- Turn team requirements into data solutions, then build and maintain pipelines that keep data accessible and reliable
- Present analysis to stakeholders through reports and visualizations
What you bring
- A bachelor's or master's degree in computer science, statistics, mathematics or a related field
- Experience as a data scientist or in comparable work, supported by a strong project portfolio
- Working knowledge of Python, R or SQL, plus machine learning tools such as TensorFlow, PyTorch or scikit-learn
Who this fits
This mid-level, full-time role suits someone who can translate complex analysis for non-technical stakeholders. It is based onsite in Kuala Lumpur.
From the employer
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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