Industry: Accounting, Finance & Insurance•
Less than 5 years
Posted 72 days ago
At First National, our employees are the heart of our story—and we’re committed to their success! Please see below the details of this career opportunity and how it fits into our organization’s success.
Exempt | Monday Through Friday
This role works as a member within Decision Sciences of Consumer Banking Group at First National Bank of Omaha. The principle purpose of this position is to conduct assignments to support initiatives related but not limited to the following:
Perform data import, wrangling and visualization on very large datasets. Data validation and Integration from multiple sources, including SQL and NoSQL databases. End to end programming support of machine learning initiatives, including coding, testing, and code validation. Assist automating production code, optimizing model efficiency, improving quality assurance, and deploying model into production on big data platform. Visualizing data in a way that tells a story. Work independently and collaboratively within the team to help to achieve the desired outcomes of an analytical project.
An incumbent in this role may be assigned to work at either FNBO branch location in Plano, Texas, in Frisco, Texas, or in Omaha, Nebraska.
Minimum of 3 years of working experience. Research and teaching experience can be considered as working experience.
Must have a Master’s degree in Computer Science, Management Information System, Statistics or other related STEM fields.
Strong working knowledge in computer programming languages, including R, SQL, and Python.
Experience with data visualization tools (e.g. R Shiny, Markdown, Microsoft Visual Studio, PowerBI)
Depth of knowledge in leveraging latest big data tools/platforms (i.e. machine learning techniques, deep learning), highly-preferred experience in big-data computation, such as Hadoop, Spark, and MapReduce.
Demonstrate excellent oral and written communication skills.
Demonstrate the ability to handle stress, meet deadlines and work with minimal supervision.
Demonstrated experience working in multi-disciplinary teams.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.