Full-Time Data Scientist (Remote)
Vericast is hiring a remote Full-Time Data Scientist (Remote). The career level for this job opening is Experienced and is accepting Atlanta, GA based applicants remotely. Read complete job description before applying.
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The Data Scientist II - FI Solutions plays a crucial role in delivering solutions and will play a more prominent role in 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 are based on machine learning, data engineering, and modeling.
We are building a privacy-centric future of digital advertising by focusing on web content. We connect 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.
The Data Scientist II - FI Solutions 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 to 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 feature stores 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 advertising signals. (20%)
- Derive new features to better understand the interplay between geography and audience features to improve model performance. (20%)
- Collaborate with Data Engineering and Analytics teams to develop new AI-powered products and bring them to market. (20%)
- Participate in planning, roadmap, and architecture discussions to evolve AI processes and improve revenue-generating products. (20%)
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.
KNOWLEDGE/SKILLS/ABILITIES
- Ability to 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, interpreting results to drive marketing strategies.
- Familiarity with Spark Framework within an On-Premise Big Data Environment.
- Analytical skills and expertise in analytical toolkits (Regression, Tree-based Models, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, 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.
OTHERS
- Mentor junior data scientists by providing guidance, sharing expertise, and supporting professional development through regular feedback, code reviews, and collaborative problem-solving.
Base Salary: $130,000-$140,000