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Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients, and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.

Zions Bancorporation is currently looking for an experienced Data Scientist to join our Enterprise Data Science team. This role focuses on delivering insight from data that is actionable and will drive revenue growth, cost reduction, and meet new regulatory requirements. The team works on strategic projects with tactical components that aim to drive all business decisions to be data driven.

The Data Scientist will be responsible for end-to-end analytic projects including:

+ The understanding of business and data needs

+ Discovering, cleaning, and transforming data as needed

+ Designing and building analytical models

+ Performing statistical analyses

+ Providing diagnostic, descriptive, prescriptive, and predictive analytics

+ Design, develop and maintain production grade machine learning and AI applications

Qualifications:

+ Expertise in Fraud Detection and Risk Modeling - Proven experience developing and deploying machine learning models for fraud detection, anomaly detection, or financial risk assessment in a production environment.

+ Strong Machine Learning and Statistical Modeling Skills - Proficiency in supervised and unsupervised learning techniques, including logistic regression, decision trees, ensemble methods, clustering, and deep learning.

+ Experience with Recommendation Systems - Hands-on experience designing and implementing collaborative filtering, content-based, or hybrid recommendation systems.

+ Familiarity with Generative AI Techniques - Working knowledge of generative models (e.g., GANs, VAEs, LLMs) and their application in financial services, customer engagement, or internal automation.

+ Proficiency in Programming and Data Tools - Strong coding skills in Python or R, with experience using libraries such as scikit-learn, TensorFlow/PyTorch, pandas, and SQL for data manipulation and model development.

+ Cloud and MLOps Experience - Experience deploying models using cloud platforms (e.g., Azure, AWS, GCP) and familiarity with CI/CD pipelines, model monitoring, and version control.

+ Excellent Communication and Collaboration Skills - Ability to translate complex analytical insights into actionable business recommendations and collaborate effectively with cross-functional teams including fraud, IT, and product.

+ Bachelor’s Degree in a Quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field and 2+ years experience. A Master’s degree is preferred.

Location:

Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047.

The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus will be the company’s primary technology and operations center. This modern and environmentally friendly technology center will enable Zions to continue to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:

+ Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.

+ At least 75% of the building is powered by on-site renewable solar energy.

+ Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.

+ Large modern cafe with a healthy and diverse menu.

+ Healthy indoor environment with ample natural light and fresh air.

+ LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

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, Paid Time Off (PTO) and 11 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

Req ID: 067466

Equal Opportunity Employer

It is the policy of this corporation to provide equal employment and advancement opportunities to all employees and applicants for employment, without regard to race, color, religion, age (40 and over), sex, pregnancy, gender, disability, national origin, ethnic background, citizenship, veteran status, sexual orientation, gender identity and expression or any other characteristic protected by applicable law. This policy is established and administered in accordance with all applicable federal, state, and local laws.

If you are an individual with disabilities who needs accommodation, or you are having difficulty using our website to apply for employment, please contact us at (801) 844-7628, Mon.-Fri. between 9 a.m. - 5 p.m. MST.

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