Goodnight Midstream provides trusted oilfield water management to oil and gas producers. The Company owns and operates an extensive network of water gathering pipelines and saltwater disposal wells focused on gathering and disposing of produced saltwater for its customers. Goodnight’s Midstream approach minimizes environmental impact and improves health and safety while lowering lease operating expense and improving reliability for its customers.
The Company is supported by a team of highly experienced engineers and operating professionals. Goodnight Midstream operates in the most active basins in the United States with significant positions in the Permian Basin and the Bakken Formation as well as an expanding footprint in the Eagle Ford Shale. For more information, please visit www.goodnightmidstream.com.
We're seeking an outgoing and collaborative Data Science Engineer to join our team. You'll play a key role in building and integrating data tools and solutions that will directly impact our business operations. Goodnight Midstream is predominantly a MS Power Platform, Palantir Foundry and Ignition/SCADA shop. This position requires someone who's not only technically skilled but also a great communicator, capable of working effectively across multiple teams to understand their needs and deliver innovative solutions. You'll be instrumental in developing and maintaining our data infrastructure, with a particular focus on integrating with industrial SCADA systems and SQL databases to drive insights and improve efficiency. This position reports to the Data Science Director. This is an exempt-level position.
Responsibilities:
- Serve as an engineering resource for the development of Data Science projects.
- Build and maintain data pipelines to support data-driven decision making across the organization.
- Integrate data from diverse sources, including, but not limited to, APIs, industrial SCADA systems and various SQL databases.
- Develop and deploy AI-powered tools and models to solve complex business problems.
- Collaborate with cross-functional teams, including engineers, operations and management to define project requirements and deliver effective solutions.
- Manage data science projects from conception to completion, ensuring timely and successful delivery using professional project management tools.
- Train end users on optimizing their use of the Data Science data platform.
- Utilize a variety of AI tools to automate processes, enhance data analysis and improve overall operational intelligence.
- Manage and maintain the company’s schema and data map
