Data Scientist II

Full time

Employment Information

At VyStar, we offer competitive pay, an excellent benefit package that includes a 401(k) Plan, an extensive paid technical and on-the-job training program, and tuition reimbursement–available to all full and part time employees. Part time positions start at a minimum of 30 hours per week.

We encourage you to become a part of VyStar Credit Union’s family of employees.

Data Scientist II

The objective of the Data Scientist II is to identify, acquire, and analyze data for predictive and prescriptive data modelling using a variety of machine learning techniques. Reporting to the Manager of Decision Science, the incumbent will work as a part of a team in an agile framework to evaluate prospective use cases for feasibility, apply exploratory data analysis to craft possible solutions to business problems, create and promote baseline models to candidate model status, evaluate solutions for bias and/or adverse impact, define model metrics and set up monitoring, work with MLOps to productionize the solution, and document all aspects of model as required by governance. The incumbent is expected to think creatively, pursue innovation, and share knowledge. This position will seek to create extraordinary business value and support VyStar’s mission to deliver remarkable service and value to the membership.


  • Conduct exploratory data analysis and feature engineering to develop predictive and prescriptive models using a variety of advanced statistical techniques that are best suited for the business problem. Identify model performance requirements through discussions with the business. Identify best model metrics and tune accordingly.
  • Identify and suggest data sources and statistical and technical methods for the purposes of modeling and analysis in support of identified use cases.
  • Work collaboratively within a team-oriented environment using agile methodology and related ceremonies.
  • Conduct model experimentation based on experimental design and advance solution to candidate status and on through model acceptance and sign-off. Analyze model solutions for model risks, bias, and adverse impact.
  • Collaborate with MLOps Engineer to productionize candidate model and perform requisite testing. Support model migration to point-of-consumption and conduct ongoing performance monitoring.
  • Work with Data Model Governance Analyst to evaluate model for compliance and regulatory alignment, and document model according to Model Documentation Template.
  • Effectively communicate complex ideas and solutions to business partners and non-technical stakeholders.
  • Stay current on data science and machine learning techniques. Learn and share knowledge with the team.



  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Finance, Economics, Engineering, or other technology-related field or equivalent number of years of experience.
  • 1-3 years of relevant enterprise project experience in successfully launching data science projects.
  • 1-3 years of enterprise experience with various frameworks, libraries, and languages.
  • 1-3 years of experience participating actively in agile development and product teams.
  • 1-3 years of experience with experimental design and model experiment execution.


  • Experience in financial industry.
  • Experience with roadmap development and use case impact analysis.
  • Exposure to data science and process of developing predictive models and decision-support solutions through software tools such as Python, R, or PowerBI.
  • Exposure to delivering solutions in an agile environment such as scrum.
  • Exposure to Azure cloud environment and resources such as Azure Data Lake, Azure Machine Learning, MLFlow, DataBricks, and Azure Data Factory.
  • Experience with Azure DevOps



  • Deep understanding of one or more programming languages.
  • Mathematical and statistical problem solving.
  • Strong modelling skills and enterprise programming experience.
  • Good communication and documentation skills.
  • Understanding of data science modelling process.
  • Business acumen and domain interpretation.
  • Version control, IDE understanding and production pipelines.
  • Technical documentation skills and process adherence validation.
  • A curiosity for how things work.


  • Knowledge of information management and cloud technologies.
  • Understanding of core financial systems used in banking.
  • Working knowledge of the credit union or banking industry.
  • Understanding of the process of innovation and concept development.
  • Understanding of model deployment into production.
  • An uncanny sense of humor and a desire to go beyond ordinary.


  • Nothing in this position description is an implied contract for employment. The position description is intended to be an accurate account of the essential functions. The functions are not all encompassing and are subject to change at any time by management.
  • The work environment characteristics described are representative of those that an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • As required or requested, may exert up to 20 pounds of force occasionally and/or a negligible amount of force constantly to lift, carry, push, pull or otherwise move objects.
  • VyStar Credit Union is not seeking outside assistance or accepting unsolicited resumes from staffing agencies or search firms for employment or contractor opportunities. Any resumes submitted by an outside vendor to any employee at VyStar via e-mail, internet, or directly to hiring managers without a valid written search agreement with the Talent Acquisition / HR department will be deemed the sole property of VyStar Credit Union.

No placement fee will be paid if a candidate is hired as a result of the referral, or through other means.

Thank you for your inquiry regarding our current job opening. Your resume will be carefully reviewed against the position requirements. Should your experience and skills match, you will be contacted by one of our Human Resources department staff members.

Thank you again for your interest in this position!

VyStar Credit Union Human Resources


Join our newsletter to get monthly updates on data science jobs.