Data Scientist - Time Series Forecasting

ExxonMobil Malaysia; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Job summary

Exxon Mobil Corporation in Malaysia seeks a Data Scientist specializing in time series forecasting. A PhD with GPA 3.5+ and at least 3 years of forecasting experience in research or industry is required.

Proficiency in Python (NumPy, pandas, scikit-learn, Keras, TensorFlow, PyTorch) and strong knowledge of statistical and ML methods are essential. You will develop, apply and validate data-driven models for complex systems, work in an Agile environment, and collaborate with a global team.

Qualifications

• PhD GPA 3.5+ required; minimum 3 years in time series forecasting in research or industry.
• Experience building, applying and validating data-driven models for complex systems.
• Knowledge of statistical methods (classification, regression, time-series, Bayesian) and ML techniques; explainability focus.
• Proficiency in Python with NumPy/pandas/scikit-learn and deep learning libraries; familiarity with Agile practices.

Skills

Time series forecasting

Python

Statistical analysis

Machine learning

Explainable AI

Agile

Education

PhD in data science / related field

Tools

NumPy

pandas

scikit-learn

Keras

TensorFlow

PyTorch

Job description

Data Scientist - Time Series Forecasting

• PhD degree in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 3.5 (out of 4.0).
• At least 3 years of experiences of specialization in time series forecasting, in either research with publications, academics or industrial collaboration related to forecasting use cases
• Experience in developing, applying, and validating data-driven tools to model complex systems.
• Knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods).
• Conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI.
• Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
• Familiarity with software testing and development practices (Agile).

Skills and Qualifications

• PhD degree in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 3.5 (out of 4.0).
• At least 3 years of experiences of specialization in time series forecasting, in either research with publications, academics or industrial collaboration related to forecasting use cases
• Experience in developing, applying, and validating data-driven tools to model complex systems.
• Knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods).
• Conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI.
• Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
• Familiarity with software testing and development practices (Agile).

Nice to have

• Supply chain, trading or commercial experience encompassing pricing, demand forecasting, and end-to-end value chain optimization are preferred.
• Prior experience in software development or working in software teams.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment.
• Excellent problem-solving skills and attention to detail.

Unlock job insights

Hirer responsiveness Salary match Number of applicants

Exxon Mobil Corporation is the world's largest publicly traded international oil & gas company, having presence in over 200 countries. We are an industry leader in almost every aspect of the energy and petrochemical business. In Malaysia, ExxonMobil has business activities ranging from exploration and production of oil and gas to refining and marketing of petroleum products, and also hosts a global IT support center.

We are looking for suitably qualified Malaysians for IT positions. You will join an organization that provides not just a job, but interesting and challenging career development opportunities and assignments that let you grow personally and professionally. While in the short term, the individuals focus will be in applying and developing IT skills, ongoing demonstration of personal excellence in leadership, business, interpersonal and technical skills will lead to possible career paths in both management and technical leadership.

We offer an attractive remuneration package which includes competitive salary, allowances, a medical plan which covers both employees and family, and other benefits.

Exxon Mobil Corporation is the world's largest publicly traded international oil & gas company, having presence in over 200 countries. We are an industry leader in almost every aspect of the energy and petrochemical business. In Malaysia, ExxonMobil has business activities ranging from exploration and production of oil and gas to refining and marketing of petroleum products, and also hosts a global IT support center.

We are looking for suitably qualified Malaysians for IT positions. You will join an organization that provides not just a job, but interesting and challenging career development opportunities and assignments that let you grow personally and professionally. While in the short term, the individuals focus will be in applying and developing IT skills, ongoing demonstration of personal excellence in leadership, business, interpersonal and technical skills will lead to possible career paths in both management and technical leadership.

We offer an attractive remuneration package which includes competitive salary, allowances, a medical plan which covers both employees and family, and other benefits.