MODS (Modeling, Optimization, & Data Science) - Full-Time

Key Skills

C Programming, C++, Computer Vision (CV), Data science techniques, Effective communication skills, Git, IT, Machine learning techniques, MATLAB Programming, MLflow, Python Programming, SQL, Writing

Job Description

What role you will play in the team

We are looking to hire candidates to work on challenging technology and engineering problems that span oil and gas exploration & production, chemicals/fuels/lubricants products and low carbon solutions. A successful candidate would understand a business problem (both commercially and technically), translate it into a computational, data science or machine learning problem and apply engineering, numerical, data science and programming skills to tackle it. The Machine Learning Engineer will work as part of a team to design, develop, deploy and sustain data science solutions that are scalable, reproducible and with commercial-grade quality.

What you will do

• Applies software development practices, DevOps skills and Machine Learning (ML) techniques to orchestrate an end-to-end machine learning workflow that effectively brings ML models to production.
• Participates in scoping of deployment of new data science solutions and implements the appropriate solution design.
• Sustain data science solutions by enabling continuous ML model and/or service performance monitoring, training, and re-training of models, including the implementation of proactive alerting methods.
• Works effectively with computational scientists, data scientists, engineers, software developers, and domain experts across the globe to develop and apply computational and data science solutions in support of our business.

About you

Skills and Qualifications

• Bachelor’s degree from a recognized university in Computer Science, IT, Applied Mathematics, Engineering or related disciplines.
• Specialization (education and/or work experience) in data science, data engineering or machine learning
• Competent to expert level programming experience in C/C++/Python
• Strong foundation in application design
• Experience with refactoring legacy code and leveraging third-party libraries/APIs during software development
• Familiarity with statistical analysis, regression and classification

Preferred Knowledge/Skills

• Experience with time series analysis, computer vision, natural language processing
• Source code version control (Git)
• Azure Cloud platform and containers
• Databricks and MLflow
• Continuous Integration and Continuous Deployment
• Matlab, SQL
• Strong written and verbal communication skills

Your total rewards

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:

• Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
• Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.
• Workplace Flexibility: We have several programs such as “Flex your Day”, providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.
• Comprehensive medical, dental, and vision plans.
• Culture of Health: Programs and resources to support your wellbeing.
• Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.
• Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.

More information on our Company’s benefits can be found at www.exxonmobilfamily.com.

Please note benefits may be changed from time to time without notice, subject to applicable law.

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Equal Opportunity Employer

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.