Data Scientist
Summer 2023 Paid Internship
May thru mid-August
Zions Bancorporation’s Enterprise Data & Analytics (EDA) team is transforming what it means to work for a financial institution. We operate in a fast-paced, data-driven environment, which means we need people who bring diverse experiences, perspectives, and expertise to meet the ever-changing demands of a data-driven world. We are grounded in the belief that “improving the work is the work” as we drive to create simple, easy, and fast solutions for our customers. Your ability to adapt, learn, and innovate helps increase revenue, reduce operational costs, and mitigates risk.
EDA provides opportunities for you to own your career growth through Diversity, Equity, and Inclusion, Women in Technology, and Workforce of the Future initiatives that allow you to network across the organization, volunteer in our community, and build your technical and soft skills. Together we are building a culture that values diversity and creates a space of belonging for all our team members. We believe that investing in your success is an investment in our customers and our business. Our people are what sets us apart and make us great.
As a Data Scientist , you will help Enterprise Data & Analytics team to analyze and model customer data. You are expected to learn banking processes to help convert data into meaningful insights in partnership with other Data Scientists on our team.
Responsibilities
- Understanding business and data needs
- Discovering, cleaning, and transforming data as needed
- Designing and building analytical models
- Prototyping
- Performing statistical analyses
- Providing diagnostic, descriptive, prescriptive, and predictive analytics
- Determining opportunities and needs around the use of machine and deep learning for help in prescriptive and predictive analytics, automation, and model training
- Handling other duties as assigned
Qualifications
- Working toward BS or MS degree in Computer Science, Engineering, Statistics or other related area of study
- Quantitative background with applied statistics skills, such as distributions, statistical testing, regression, etc.
- Familiarity with predictive modeling, machine learning, and data mining techniques and algorithms
- Software skills
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
- Data visualization tools, such as GGplot, Tableau, D3.js
- Scripting language experience, such as Java, Perl, PHP, or Python
- Proficiency with SQL
- Hadoop/Hive/Pig/Spark is a plus
- ETL workflows and scheduling is a plus
- Strong analytical, organizational, and problem solving skills
- Strong interpersonal, presentation, and communication skills, both verbal and written along with an understanding of how to present results such that they are meaningful across multiple levels of management
- Ability to effectively teach and train fellow team members on models, processes or tools
- Ability to collaborate and coordinate with multiple teams and team members
- Ability to meet deadlines and work independently, asking questions as needed
- Experience in banking or financial services a plus
- Education or experience working with formal project management methodologies preferred