Data Scientist I - Remote

Velera

3d•Remote

About The Position

Join the People Helping People Velera is the nation’s premier payments credit union service organization (CUSO) and an integrated fintech solutions provider. The company serves more than 4,000 financial institutions throughout North America, operating with velocity to help our clients keep pace with the rapid momentum of change and fuel growth in the new era of financial services. Our purpose: We accelerate partners’ success through innovative financial technology solutions and inspired service. The Opportunity We are seeking a talented Data Scientist who can apply data mining techniques, mathematical and statistical analyses, and machine learning algorithms to large data sets. The data scientist will collect, process, and analyze large data sets to uncover trends, patterns, and insights. They will be responsible for building and evaluating predictive models and algorithms, designing experiments, and interpreting the results for stakeholders. Additionally, data scientists collaborate with cross-functional teams to implement data-driven solutions and ensure the accuracy and effectiveness of data models and analytical methods. The ideal candidate will be comfortable communicating with a wide audience, including business and technical teams. They will have a passion for problem-solving, knowledge sharing, and continuous learning. Day in the Life: 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.

Requirements

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.

Nice To Haves

Experience with AI Models,, NLP, and/or LLM's preferred
Experience building classification models preferred

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.