Designing Automation Solutions: Developing detailed process documentation and diagrams to support understanding and implementation.
Implementing Automation Systems: Designing, testing, and deploying automation scripts and systems.
Collaborating with Departments: Working with various teams to understand their needs and provide tailored automation solutions.
Training and Support: Providing training and ongoing support to staff on the use of automation tools and systems.
Staying Updated: Keeping abreast of the latest trends and technologies in automation.
Reviewing and Updating Processes: Regularly reviewing and updating automation processes to ensure they remain efficient and effective.
Addressing Technical Issues: Troubleshooting and resolving any technical issues related to automation systems.
Continuous Improvement: Implement transformation to streamline, automate, and centralize business and reporting processes
Troubleshooting and breakfix : Troubleshoot issues with applications, to provide break fix solutions and ensure smooth operations.
Intermediate to Advance skills : 4+ years’ experience in SQL, Python , Snowflake,
Experience in building end user apps, establish data connections to various platforms including cloud services
About You
Required Skills and Qualifications
Minimum bachelor’s degree in Engineering.
Industry Experience: Candidate with working experience in the oil and gas industry with a clear understanding of user requirements for standard reporting and related services will be preferred.
Relationship Management: Ability to effectively control scope/demand for report delivery services.
Process Management: Applies continuous improvement processes to drive report delivery streamlining via the use of CI tools and leveraging analytics technologies.
Technical experience: Minimum 4 yrs of experience Python, Snowflake, SQL, or any programming language
Preferred Skills & Qualifications
Hands-on Python or R experience
Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn
Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression
Python, scikit-learn (Classical ML), PyTorch, TensorFlow (Deep Neural networks) (Libraries inside the python), Databricks, Spark and Azure ML
Has personally developed a predictive model/advance analytics model evaluation metrics like, regression, timeseries, forecasting etc
Strong SQL experience, Power BI or equivalent visualization experience
Has developed AI/ML solutions.
Your benefits
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you:
Competitive compensation
Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits
Retirement benefits
Global networking & cross-functional opportunities
Annual vacations & holidays
Day care assistance program
Training and development program
Tuition assistance program
Workplace flexibility policy
Relocation program
Transportation facility
Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.
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EEO Statement
ExxonMobil is an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.
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Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships
Alternate Location
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
