Data Scientist II - FI Solutions

Employment Type: Full-time Location Type: Remote Salary: Not Specified

Company Description

Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more.

For more information, visit http://www.vericast.com or follow Vericast on LinkedIn.

Position Overview

The Data Scientist II - FI Solutions plays a crucial role in delivering our solutions today and will play a more prominent role in our future. A typical data science project has a solid mathematical foundation, an exploratory dimension, and a data-driven workflow. At Vericast, our data science projects have strong foundations on machine learning, data engineering, and modeling. We are building a privacy-centric future of digital advertising by focusing on web content. We are connecting web content to consumer interest and action, ultimately driving which ads are shown on a webpage.

The Data Scientist II - FI Solutions is passionate about using cutting-edge technology and data science methods to solve unique and complex problems within the Financial Services industry. This role is innately curious about how data can be used to tell a story and inform decisions. The Data Scientist II - FI Solutions is an integral part of a cross-disciplinary team working on highly visible projects that improve performance and grow the intelligence in our Financial Services marketing product suite. Our day-to-day work is performed in a progressive, high-tech workspace where we focus on a friendly, collaborative, and fulfilling environment.

Key Duties/Responsibilities

• Leverage a richly populated feature store to understand consumer and market behavior. (20%)
• 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. (20%)
• Derive a set of new features that will help better understand the interplay between geography and audience features to improve model performance. (20%)
• Work collaboratively with Data Engineering and Analytics teams to develop new products with applied AI and bring them to market. (20%)
• Participate in planning, roadmap, and architecture discussions to help evolve our AI processes to improve revenue-generating products. (20%)

Qualifications

Education

• Required: Bachelor’s Degree
• Required: Master's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics)
• Preferred: Doctorate Degree

Experience

• 5-10 years of experience within the Data Science space.
• In lieu of the stated education and experience requirements, a combination of experience and education will be considered.

Knowledge/Skills/Abilities

• 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 ad hoc 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.

Other

• Serve as a mentor to junior data scientists.