Data Scientist (Remote)

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary: Not specified

The Data Scientist II - FI Solutions plays a crucial role in delivering Vericast's solutions today and will play a more prominent role in the future. This role involves leveraging machine learning, data engineering, and modeling to solve complex problems within the Financial Services industry, focusing on connecting web content to consumer interest and action to drive advertising. The position is part of a cross-disciplinary team working on projects to improve performance and grow intelligence in the Financial Services marketing product suite within a collaborative, high-tech environment.

Key Duties/Responsibilities

• Leverage feature stores to understand consumer and market behavior (20%).
• Implement predictive models to determine the likelihood of a person or household opening a lending or deposit account based on advertising signals (20%).
• Derive new features to better understand the interplay between geography and audience features for improved model performance (20%).
• Collaborate with Data Engineering and Analytics teams to develop and market new products with applied AI (20%).
• Participate in planning, roadmap, and architecture discussions to evolve AI processes for revenue-generating products (20%).

Requirements

• Education:
  • Bachelor’s Degree (Required)
  • Master's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required)
  • Doctorate Degree (Preferred)
• Experience:
  • 5-10 years of experience within the Data Science space.
  • A combination of experience and education will be considered in lieu of stated requirements.
• Knowledge/Skills/Abilities:
  • Ability to process high volumes of data and derive insights 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.
  • Strong analytical skills with expertise in toolkits such as Regression, Tree-based Models, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, and predictive analysis.
  • Proficiency 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.

Company Description

Vericast is the financial institution (FI) performance partner, helping banks and credit unions drive growth, improve efficiency, increase engagement, and navigate change through data, technology, and people. Their advanced analytics, data-driven insights, and integrated solution set enable better execution with agility, precision, and scale. Thousands of financial institutions rely on Vericast and its 150 years of financial services expertise.

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