ExxonMobil is looking to automate the deployment and sustainment of Data Science work products at scale to deliver value to customers in a reproducible way.
Applies Software Development methodologies, DevOps toolsets and ML techniques and coordinates the implementation effort of an end-to-end machine learning workflow that effectively brings ML models to production.
Leads the scoping and identifies the appropriate solution design of a deployment of a new data science solution.
Provisioning deployment environments via Infrastructure as Code
Developing relevant source code, ML Pipelines, APIs, and user interfaces
Employing multiple testing methods to transform and scale a prototype data science model to a multi-user environment across business lines.
Sustains solutions by enabling continuous ML model and/or service performance monitoring, training, and re-training of models, including the implementation of proactive alerting methods.
Other
Mentors less experienced team members.
Acts as a primary contact for business requests.
Represents ExxonMobil in interactions with key competitors, vendors, partners, joint ventures, NOCs, government officials, industry associations, academia, and industry forums.
Mentors early career professionals and utilizes depth and/or breadth of experience to identify cross-functional business opportunities; visible mentor beyond immediate business line or team.
Coaches users to improve ability to derive value out of processes, systems, and data.
