Oil And Gas jobs in United States
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Data Scientist
Job summary
A leading energy company in Kuala Lumpur is seeking a skilled Data Scientist to drive digital transformation across its operations. The role involves enhancing data management practices, developing automated solutions, and analyzing data to optimize performance and reduce costs. The ideal candidate will have more than 3 years of experience, a strong grounding in Python and SQL, and a proven ability to translate business needs into technical solutions. Join a dynamic team and promote a data-driven culture within the organization.
Qualifications
- More than 3 years in data science or analytics role, preferably in oil & gas or manufacturing.
- Proven track record in delivering data-driven solutions.
- Experience in cross-functional teams and mentoring others.
Responsibilities
- Collaborate to improve data management practices and analytics.
- Analyze storage utilization and propose optimization strategies.
- Support automation and predictive analytics initiatives.
Skills
Education
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.
- 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.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field from a recognized institution.
- 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.
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.