Data Scientist

Summary

Join Vericast as a Data Scientist II - FI Solutions and leverage cutting-edge technology and data science methods to solve complex problems in the Financial Services industry. You will be a key player in delivering solutions and contributing to the company's future. This role involves implementing predictive models, deriving new features to improve model performance, and collaborating with cross-functional teams. You will participate in planning and architecture discussions to evolve AI processes and improve revenue-generating products. The ideal candidate possesses a Master's degree in a quantitative discipline and 5-10 years of experience in data science. The position offers a base salary of $130,000-$140,000.

Requirements

• Bachelor’s Degree
• Master's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics)
• 5-10 years of experience within the Data Science space
• Ability to churn through and gain insights from high volumes of data using distributed processing
• Understanding and experience with Machine Learning workflows and model productionalization
• Expertise in analysis or design of experiments for standard and adhoc analysis, interpreting results to drive marketing strategies
• Familiarity with Spark Framework within an On-Premise Big Data Environment
• Good analytical skills, with expertise in analytical toolkits such as Regression, Tree-based Models, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, and predictive analysis
• Proficient in Python/PySpark collaborative development in an industry setting
• Ability to create Data-Driven presentations and reports for technical and non-technical stakeholders
• Proven track record of leveraging data to optimize marketing campaigns and improve customer engagement
• Serve as a mentor to junior and less experienced data scientists by providing guidance, sharing technical expertise, and supporting their professional development through regular feedback, code reviews, and collaborative problem-solving

Responsibilities

• Leverage a richly populated feature stores to understand consumer and market behavior
• Implement a predictive model to determine whether a person or household is likely to open a lending or deposit account based on the advertising signals they've received
• Derive a set of new features that will help better understand the interplay between geography and audience features to improve model performance
• Work collaboratively with Data Engineering and Analytics teams to develop new products with applied AI and bring them to market
• Participate in planning, roadmap, and architecture discussions to help evolve our AI processes to improve revenue-generating products

Preferred Qualifications

Doctorate Degree

Benefits

• Base Salary: $130,000-$140,000
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