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Data Scientist Job Opening In Kuala Lumpur – Now Hiring bipi


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bipi Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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bipi Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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Base pay range

$2,000.00/yr - $5,000.00/yr

Job Title: Data Scientist
Location: Kuala Lumpur, Malaysia
Company: Axross Pte Ltd
Type: Full-Time
About Us
At Axross, we’re building advanced HVAC AI solutions to optimise energy efficiency in industries like pharmaceuticals, semiconductors, and precision manufacturing.

Our systems help manufacturers better control the production environment while reducing energy consumption, contributing to cost reductions and environmental sustainability.
We are looking for a Data Scientist who is passionate about applying data science, machine learning, and AI techniques to real-world industrial challenges.

Join us in pushing the boundaries of innovation by developing intelligent systems that can drive significant energy and operational efficiencies.
Roles And Responsibilities

  • Develop and implement advanced machine learning models (e.g., reinforcement learning, supervised learning) for real-time optimization of HVAC systems.

  • Work with dynamic simulation models to predict and optimise the performance of industrial systems.

  • Analyse large datasets, including plant and environmental data such as temperature, humidity, and energy consumption metrics.

  • Build and refine predictive models for energy demand forecasting and optimise control strategies across different industrial applications.

  • Collaborate with cross-functional teams (AI engineers, product managers) to deploy models in production environments.

  • Design and evaluate experiments to test and validate model performance, ensuring alignment with energy efficiency goals.

  • Continuously enhance models to improve prediction accuracy and system control.

  • Present findings, analysis, and insights to both technical and non-technical stakeholders.
Requirements
  • Have at least 2 years experience with ETL processes and model optimization techniques like feature selection, hyper-parameter tuning, and model validation.

  • Proficient in programming languages like Python, R, or Java, with a strong foundation in designing algorithms using various data structures.

  • Solid understanding of dynamic simulation models and / or digital twins for system optimization.

  • Experience with cloud platforms (e.g., Microsoft Azure, AWS) for deploying AI models.

  • Strong analytical thinking, problem-solving skills, and attention to detail.

  • Excellent communication skills with the ability to convey complex data insights to a diverse audience.

  • Deep understanding and hands-on experience with predictive modelling algorithms like logistic regression, neural networks, decision trees, and heuristic models.

  • Ability to work efficiently with different teams and independently learn new concepts or techniques.
Qualifications
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.

  • Experience in energy optimization, manufacturing, or industrial IoT projects is an advantage.

  • Knowledge of reinforcement learning and control theory is highly desirable.
What We Offer
  • The opportunity to work on cutting-edge AI projects with real-world impact.

  • A collaborative and innovative work environment.

  • Competitive salary and benefits.

  • Career growth opportunities in a fast-growing industry focused on sustainability and innovation.
If you’re excited about using data science and AI to solve industrial challenges and drive sustainable solutions, we’d love to hear from you!

Seniority level

  • Seniority level

    Entry level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Internet Marketplace Platforms

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Kuala Lumpur, Malaysia, highlighting market share and opportunities for professionals in Data Scientist roles.

4916 Jobs in Malaysia
4916
1038 Jobs in Kuala Lumpur
1038
Download Data Scientist Jobs Trends in Kuala Lumpur and Malaysia

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at bipi adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Malaysia laws and regulations

What Is the Average Salary Range for Data Scientist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Kuala Lumpur. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Data Scientist typically include It & Technology and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist Job Success

bipi interview tips for Data Scientist

Here are some tips to help you prepare for and ace your Data Scientist job interview:

Before the Interview:

Research: Learn about the bipi's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist interview at bipi, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the bipi's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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