Note: The job is a remote job and is open to candidates in USA. Velera is the nation’s premier payments credit union service organization and an integrated fintech solutions provider. The company is seeking a talented Data Scientist who will apply data mining techniques and machine learning algorithms to large data sets, build predictive models, and collaborate with cross-functional teams to implement data-driven solutions.

Responsibilities

• Collaborate with stakeholders throughout the business to understand existing processes and identify opportunities for leveraging data to drive solutions
• Perform data mining and analysis from various databases to build solutions for optimizing product development, client portfolios, and business strategies
• Design and build custom AI/ML models and algorithms applied to data sets for enhancing products and processes
• Conduct exploratory data analysis to determine the effectiveness and accuracy of data for application in models and algorithms
• Develop and perform A/B testing frameworks to assess model quality and validity
• Interpret data analysis, model, and algorithm results to business and technical teams to facilitate decision-making
• Design and build predictive models to increase and optimize portfolios, generate revenue opportunities, prevent client attrition, and optimize portfolio segments for timely offers
• Develop processes and tools for monitoring and analyzing model performance and data accuracy
• Stay updated on industry standards and advancements in data-driven technologies and tools
• Work in an agile framework as needed
• Perform duties as assigned

Skills

• Bachelors degree in Operations Research, Statistics, Mathematics, Computer Science, Physics or similar field
• 2+ year's professional experience working within business intelligence, data science, or operations research with experience in development of advanced analytics
• Proficient with computer languages such as Python, and SQL
• Familiar with various machine learning techniques including clustering, ensemble methods, artificial neural networks. Understanding their advantages and drawbacks and when to apply each
• Proficient in advanced statistical techniques such as various regression modeling (linear, logistic, polynomial, etc.), forecasting methods, with practical application experience
• Knowledgeable in cloud platforms for data science, Preferably Azure and Databricks
• Familiar with big data platforms such as Databricks and/or Snowflake
• General knowledge of PCI standards and regulations
• Familiar with Agile methodologies and practices
• Excellent verbal, written, and visual communication skills, with the ability to tell a story using data and visualizations
• Experience with AI Models, NLP, and/or LLM's preferred
• Experience building classification models preferred

Benefits

• Competitive wages
• Medical with telemedicine
• Dental and Vision
• Basic and Optional Life Insurance
• Paid Time Off (PTO)
• Maternity, Parental, Family Care
• Community Volunteer Time Off
• 12 Paid Holidays
• Company Paid Disability Insurance
• 401k (with employer match)
• Health Savings Accounts (HSA) with company provided contributions
• Flexible Spending Accounts (FSA)
• Supplemental Insurance
• Mental Health and Well-being: Employee Assistance Program (EAP)
• Tuition Reimbursement
• Wellness program
• Benefits are subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions

Company Overview