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.
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.
Experience with AI Models,, NLP, and/or LLM's preferred.
Experience building classification models preferred.
Excellent verbal, written, and visual communication skills, with the ability to tell a story using data and visualizations.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data miningdata analysisAI modelsmachine learningpredictive modelingA/B testingstatistical techniquesregression modelingPythonSQL

Soft Skills

collaborationcommunicationdecision-makingstorytelling with dataanalytical thinking