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 and will have a prominent role in the company's future. This role involves working on data science projects with strong foundations in machine learning, data engineering, and modeling, focusing on connecting web content to consumer interest and action to drive ad delivery in a privacy-centric digital advertising future. The position is integral to a cross-disciplinary team working on highly visible projects that improve performance and grow intelligence within the Financial Services marketing product suite, in a collaborative and high-tech environment.

Key Duties/Responsibilities

• Leverage feature stores to understand consumer and market behavior (20%).
• Implement predictive models to determine account opening likelihood based on advertising signals (20%).
• Derive new features to improve model performance by understanding the interplay between geography and audience features (20%).
• Collaborate with Data Engineering and Analytics teams to develop and launch 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 gain insights using distributed processing.
  • Understanding and experience with Machine Learning workflows and model productionalization.
  • Expertise in experiment design and analysis for marketing strategies.
  • Familiarity with Spark Framework within an On-Premise Big Data Environment.
  • Strong analytical skills with expertise in 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 both 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.