Data Scientist I

MO - St. Louis County Central - St. Louis - Clayton (8000 Forsyth) (63105)

Full-time

Hybrid

$34.05/hr - $39.90/hr

Entry Level

Commerce Bank operates as a super-community bank offering sophisticated financial products. As a Data Scientist I, you will deliver statistical and machine learning solutions to support business strategic objectives and improve business performance.

Apply Now

Responsibilities

Partner with lines of business to apply modeling and experimental design skills to help drive business strategies, tactics, and results
Apply and interpret statistical, mathematical, econometric and/or machine learning analysis and models (regression, trees, neural networks, clustering, etc.) to the business as they relate to performance objectives/strategic goals
Identify opportunities to develop mathematical models and other optimization techniques to perform quantitative and qualitative data analysis that results in strategies to improve/maintain business performance
Responsible for writing and developing programming for extraction, transformation, loading and storage of large datasets for the purposes of statistical analysis, data modeling, machine learning and forecasting
Interpret statistical data analysis in order to develop business strategy, measure results, and maximize benefits to the line of business
Ensure the accuracy and integrity of data is maintained
Complete assignments with guidance and instruction
Perform other duties as assigned

Qualification

Required

Basic knowledge of statistical/quantitative research methods
Basic ability to complete assignments with guidance and instruction
Basic knowledge of database environments (i.e., Oracle/DB2/UNIX/TeraData)
Basic knowledge of statistical software (i.e., R/Python/SAS/Excel)
Basic knowledge of Big Data processes and programming (i.e., Spark/Scala/HIVE/HDFS/Python/R/Hortonworks, Databricks)
Basic knowledge of programming SQL or similar (i.e. SAS/C++/R/Python)
Basic knowledge of data visualization software (PowerBI/Tableau)
Motivated and organized self-starter with strong attention to detail and the ability to manage multiple priorities
Inquisitive, agile, and strong team player with excellent written, verbal, and interpersonal communication skills
Ability to remain adaptable and resilient to all situations with an optimistic outlook and cast a positive shadow that is aligned with our culture and Core Values
Basic level proficiency with Microsoft Word, Excel, Outlook, and Teams
Bachelor’s degree in Statistics, Mathematics, Economics, or similar quantitative field of study, or equivalent combination of education and experience required
1+ year data science related experience required