Data Scientist Enterprise Retail Banking Products & Payments - Midvale

Zions Bancorporation•Midvale, UT

35d

About The Position

Zions Bancorporation is one of the nation's premier financial services companies operating as a collection of great banks under local brands and management teams in high-growth western markets. Zions is regularly recognized by American Banker magazine as having a top banking team in its list of "The Most Powerful Women in Banking." Our customers consistently vote us as the best bank in our local markets. We value our employees, and we are committed to search out, recognize and create fulfilling opportunities for outstanding people within our organization, rewarding them for their contributions to our success. We recognize that banking is a "local" business, and that to be successful, we must have very strong ties to the communities we serve and strong relationships with our customers. With benefits starting on day one, 12 bank holidays, profit sharing and company-matched 401(k) contributions, Zions is dedicated to being an employer of choice in our communities. At Zions, the possibilities are endless. You bring the talent; we bring the opportunity. We are currently seeking a Data Scientist as part of our Enterprise Retail Banking Products & Payments function. The role reports to the Senior Manager for Consumer and Small Business Deposit Product Management. This team is responsible for products that support 1.4 million customers across 11 states in the Western U.S. The Deposits Product Team works on strategic initiatives that support customer growth, financial performance, customer experience, and continuous improvement. We develop insights that support the bank's retail and product management strategy. The Data Scientist will play a key role in the organization by supporting our most complex, high value business problems. This role is ideal for someone who loves using data and wants to make a real business impact. If you want to work on a team where your input matters, you get to collaborate with sharp colleagues with whom you will grow, where your work is truly valued and you make a real difference, then this role is a good fit for you.

Requirements

Requires a Bachelors in Mathematics, Statistics, Accounting, Economics, Finance or other technical disciplines.
6+ yrs experience in statistical modeling, statistics, analytics, regression analysis, or other directly related experience.
A combination of education and experience may meet requirements.
Advanced knowledge of statistical modeling, analytics, mathematical statistics, computer science and other related applications.
Strong orientation to quantitative, data-driven analysis using tools such as R, Python, and SQL. Experience with PowerBI is a plus.
Strong command-line proficiency, including navigating Linux environments and working remotely on virtual machines.
Experience writing and optimizing SQL queries against distributed data-lake systems (Hive or similar). Experience with Databricks is a plus.
Advanced understanding of the business and data needs.
Ability to analyze large data sets from multiple data sources.
Excellent problem solving, analysis and communication skills, both verbal and written.
Proficiency in word processing, spreadsheet and presentation creation tools, etc.

Responsibilities

Responsible for designing and building analytical models, prototyping, performing statistical analyses, providing diagnostic, descriptive, predictive and prescriptive analytics.
Determines opportunities and needs around the use of machine and deep learning for help in prescriptive and predictive analytics, automation and model training.
Responsible for analytics projects, understanding the business and data needs, discovering, cleaning, and transforming data as needed.
Responsible for modeling complex business problems, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
Create and support statistical models to analyze, evaluate scenarios and potential future outcomes and risk.
Analyze large amounts of data, using advanced statistical techniques and mathematical analyses, with statistical rigor.
Responsible for completing analysis in one or more of the following areas: customer segmentation and behavioral analysis. customer adoption and market penetration, product profitability and forecasting.
Conduct relevant research and create reports as needed.
Present research to senior bank leaders.
Other duties as assigned.

Benefits

Medical, Dental and Vision Insurance - START DAY ONE!
Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
Paid Training, 20 days of Paid Time Off (PTO) and 12 Paid Federal Holidays
401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
Mental health benefits including coaching and therapy sessions
Tuition Reimbursement for qualifying employees
Employee Ambassador preferred banking products
Employees may, at the company's discretion, be eligible to receive a cash bonus award

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