Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Data scientists at ExxonMobil combine domain expertise with interdisciplinary data science skills to bring insights to today’s most challenging energy decisions. We are looking to hire candidates to work on challenging data science problems across our oil & gas businesses, including exploration, production, refining, chemicals, retail, and low carbon solutions.

Job Role Responsibilities

• Apply statistical analysis, pattern recognition, and machine learning – along with domain knowledge and subject-specific models – to solve science, engineering, and commercial problems.
• Contribute to all stages of data modeling and analytics projects, including problem formulation, solution development, and product deployment:
• Translate business-relevant scientific, engineering, and commercial problems into questions that may be addressed using data science.
• Design experiments and/or run simulations to generate new data in support of analytic studies.
• Retrieve and combine data from databases, data historians, and/or data lakes; there is a strong emphasis on programming, particularly using scripting languages.
• Perform exploratory data analysis for quality control and improved understanding.
• Rigorously and reproducibly build, analyze, and compare statistical and/or machine learning models.
• Contextualize the results and synthesize them with existing knowledge and/or domain-specific models.
• Deploy data-analytic products to end-users and/or document data-analytic results in technical reports.

Job Requirements

• Experienced data scientist (with minimum 2 years of work experience) with proven track record of solving challenging problems and influencing business partners.

• Master's degree/ PhD degree from a recognized university in one of the following disciplines: Chemical Engineering, Mechanical Engineering or related disciplines with minimum GPA 7.0 (out of 10.0) and above.
• Experience in Python, MATLAB, or R is required.
• Excellent communication skills and experience working in a collaborative environment is required.
• Previous work experience in the oil and gas industry, energy, or manufacturing is an advantage.
• Demonstrated ability to mentor other data scientists is an advantage.
• Demonstrated ability to accelerate the digital maturity of business partners is an advantage.
• Knowledge of numerical methods for linear algebra and optimization is an advantage.
• Experience in technical software development is an advantage.
• Experience of cloud computing platforms like Azure, AWS and familiarity with MLOPs is an advantage.