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Hibiscus Petroleum Berhad

Data Scientist

Hibiscus Petroleum Berhad
Malaysia, Kuala Lumpur
3-5 Years
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Job Description

The Data Scientist play a key role in driving digital transformation across our exploration and production operations. Support the InfoTech & Digitalization department and work closely with other business units to enhance data management practices, improve data accessibility, and develop digital solutions that boost productivity and reduce operational costs. KEY ACCOUNTABILITIES

  • Collaborate within the InfoTech & Digitalization department to improve data management practices, including data quality, governance, and lifecycle management.
  • Analyze storage utilization and propose optimization strategies to reduce costs and improve performance.
  • Develop solutions to enhance data accessibility and usability for end users across departments.
  • Support the company's digital transformation roadmap by identifying opportunities for automation, predictive analytics, and AI-driven insights.
  • Evaluate and implement digital tools and platforms that align with business goals.
  • Partner with departments such as Operations, Finance, and Engineering to identify pain points and co-develop digital products or dashboards that improve efficiency and reduce costs.
  • Translate business needs into technical solutions using data science and analytics.
  • Conduct training sessions and workshops to upskill staff in data literacy, analytics tools, and digital technologies.
  • Promote a data-driven culture across the organization.

REQUIREMENTS AND QUALIFICATIONSEducation:

  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or related field from a recognized institution.

Working experience:

  • More than 3 years of hands-on experience in data science or analytics role, preferably in a complex, asset-heavy industry such as oil & gas, energy, or manufacturing.
  • Proven track record of delivering data-driven solutions that improved operational efficiency, reduced costs, or enhanced decision-making.
  • Experience working in cross-functional teams, collaborating with business units such as Operations, Finance, and Engineering.
  • Demonstrated ability to translate business problems into analytical solutions and communicate insights to non-technical stakeholders.
  • Familiarity with managing and working with large, diverse datasets from multiple sources.
  • Experience in mentoring or training colleagues in data literacy or analytics tools.
  • Ability to manage multiple projects simultaneously and prioritize tasks effectively.
  • Comfortable working in both structured and agile environments, adapting to evolving business needs.

Technical skills:

  • Python programming for data analysis, modeling, and automation.
  • SQL programming for querying and manipulating relational databases.
  • Power BI for building interactive dashboards and reports.
  • Machine learning techniques such as regression, classification, and clustering.
  • Data wrangling and manipulation using libraries like pandas and numpy.
  • Building ETL processes and data pipelines.
  • Deploying models or analytics solutions into production environments.
  • Knowledge of data governance, including data quality, metadata, and lifecycle management

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Science
Employment Type:
Full time

Job ID: 134817291

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Last Updated: 30-06-2026 01:54:36 PM
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