Job summary
Job post source
This job is directly from Commerce Bank
Job overview
The Data Scientist I at Commerce Bank delivers statistical and machine learning solutions to support business strategic objectives, contributing to improved business performance.
Responsibilities and impact
The role involves partnering with business lines to apply modeling and experimental design, performing statistical and machine learning analyses, developing mathematical models, programming for data extraction and transformation, interpreting data to inform strategy, and ensuring data accuracy.
Compensation and benefits
The hourly pay ranges from $34.05 to $39.90 based on experience and skills, with benefits including health, dental, vision insurance, 401(k), life insurance, paid vacation, personal time, career development, education assistance, and supplemental benefits.
Experience and skills
Requires a bachelor's degree in a quantitative field or equivalent experience, 1+ year of related data science experience, basic knowledge of statistical methods, databases, programming languages (SQL, Python, R), big data processes, data visualization tools, and proficiency in Microsoft Office.
Career development
Commerce Bank offers opportunities for career development and education assistance to support employee growth.
Work environment and culture
The company culture emphasizes community, employee growth, relationship building, and alignment with core values, fostering an award-winning environment focused on people.
Company information
Commerce Bank is a long-established financial institution with over 160 years of history, focused on financial safety, business success, and community support.
Job location and travel
The position is located in Kansas City or St. Louis, Missouri, with expectations to be present in the office for important moments.
Unique job features
This role offers the chance to work with advanced statistical and machine learning techniques within a supportive and growth-oriented banking environment.
Company overview
Commerce Bank is a financial institution that provides a wide range of banking services, including personal banking, business banking, and wealth management. They generate revenue through interest on loans, service fees, and investment products. Founded in 1865, the bank has a long history of innovation, including being one of the first to offer extended banking hours and seven-day banking. Their commitment to customer service and technological advancements has positioned them as a leader in the banking industry.
How to land this job
Position your resume to highlight your foundational knowledge in statistical and quantitative research methods, emphasizing your ability to apply machine learning models like regression, clustering, and neural networks to business problems at Commerce Bank.
Focus on showcasing your experience with data extraction, transformation, and loading (ETL) processes, as well as your familiarity with programming languages such as Python, R, SQL, and statistical software like SAS or Excel, which are key for this role.
Apply through multiple platforms including Commerce Bank’s official careers page and LinkedIn to maximize your application’s visibility and reach.
Connect with current Data Scientists or Analytics team members at Commerce Bank on LinkedIn; use ice breakers like commenting on recent Commerce Bank analytics projects or expressing enthusiasm for their commitment to community and culture to start meaningful conversations.
Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning,' 'statistical analysis,' 'ETL,' 'Python,' 'SQL,' and 'data visualization,' ensuring your resume passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best online portals for submission, and find relevant LinkedIn contacts to network with, allowing you to focus more on interview preparation and skill development.
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