Job Description

Chevron is accepting online applications for the position ofData Scientistlocated in Duo Tower,Singapore through July 21, 2022 at 11:59 p.m. (Eastern Standard Time).

All interested applicants, please read the Data Privacy Noticebefore submitting application. Chevron develops and deploys technology solutions that drive business growth and supports our global operations. We differentiate ourselves through the application of technology, taking an approach that includes in-house technical expertise, proprietary solutions, and strategic partnerships both within and outside the company. A career in Technology at Chevron offers you the opportunity to work in a cutting-edge computing environment with a global reach. You’ll find that we make a business of investing in our people and encouraging your professional development by creating a work environment full of opportunities to enhance and extend your skills. You’ll be supported by organized mentoring programs and employee networks to help grow your capabilities. Chevron offers competitive remuneration package and flexible work arrangement program. This position is part of the Data Science & Analytics chapter responsiblefor providing Data Science and Machine Learning Engineering expertise and solution delivery across Chevron. The function of this role is to partner with the business to identify opportunities to apply data science approaches and create data science products that deliver business value. The successful candidate that fills this position will have the skills to identify, prototype, and build data science products. Responsibilities for this position may include but are not limited to:

• Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data in order to help Chevron businesses gain insight and improve decision making, workflow, and automation. Understand value of proposed opportunity.
• Identify data necessary and appropriate technology to solve business challenges identified.
• Clean data, develop models, and test models.
• Establish the life cycle management process for models.
• Work with team lead on engaging business regularly to share team’s accomplishments and to identify additional opportunities.
• Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills.
• Participates in the end-to-end product development lifecycle as a member of agile team.

Required Qualifications:

• Bachelor or master’s degree in Mathematics, Statistics, Operations Research, Data Science, Computer Science, Management Information Systems, Economics, Engineering,Business or Other Sciencesdegree required.
• At least 2 to 10 years’ experience in applying advanced analytics techniques.Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, data mining);experience implementing advanced analytics projects; working knowledge of Microsoft Azure and tools in its ecosystem.
• Proficient in Python programming
• Experience in implementing machine learning frameworks and libraries (e.g. ML Flow, Kubeflow, Tensorflow. Keras scikit-learn, PyTorch, NumPy, SciPy, etc.)
• Experience in SQL; data visualization and insights communication; experience in using tools such as Power BI and packages in Python
• Ability to engage business and technical experts at all organizational levels and assess opportunities to apply data science analytics to improve their workflows and deliver information and insight to support business decisions.
• Ability to communicate in a clear, concise, and understandable manner both orally and in writing. Listens carefully and asks questions to understand the views, concerns, and comments of others.

Preferred Qualifications:

• Awareness of current and emerging trends in data science and artificial intelligence
• School, work experiences or exposure in linear programming optimization, deep learning, or computer vision is a plus.
• Experience in oil and gas value chain is good to have.
• Works independently, enjoys self-learning and displays creative thinking

Relocation Options:

Relocation will not be considered within Chevron parameters.

International Considerations:

Selected candidate will work in Singapore under the local payroll system and benefits. Chevron participates in E-Verify in certain locations as required by law.