Central Point Partners · 4 days ago
Data Scientist with Hands On development experience with R, SQL & Python
Central Point Partners is currently interviewing candidates for a Senior Data Scientist position within the Enterprise Analytics team. The role focuses on leveraging data-driven insights to optimize consumer experience and deliver customer value, while collaborating with various stakeholders across the organization.
Responsibilities
Feature & Functional Design
Data scientists are embedded in the team’s designing the feature. Their main job here is to define the data tracking needed to evaluate the business case—things like event logging, Adobe tagging, third-party data ingestion, and any other tracking requirements. They are also meant to consult and outline if/when business should be bringing data into the bank and will help connect business with CDAO and IT warehousing and data engineering partners should new data need to be brought forward
Feature Engineering & Development
The same data scientists stay involved as the feature moves into execution. They support all necessary functions (Amigo, QA, etc.) to ensure data tracking is in place when the feature goes live. They also begin preparing to support launch evaluation and measurement against experimentation design or business case success criteria
Feature Rollout & Performance Evaluation
Owns tracking the rollout, running A/B tests, and conducting impact analysis for all features that they have been involved in the Feature & Functional Design and Feature Engineering & Development stages. They provide an unbiased view of how the feature performs against the original business case along with making objective recommendations that will provide direction for business. They will roll off once the feature has matured through business case/experiment design and evaluation
In addition to supporting feature rollouts…
Data scientists on the team are also encouraged to pursue self-driven initiatives during periods when they are not actively supporting other projects. These initiatives may include designing experiments, conducting exploratory analyses, developing predictive models, or identifying new opportunities for impact
Qualification
Required
Hands On development experience with R
Hands On development experience with SQL
Hands On development experience with Python
Strong understanding of data needed to perform studies
Ability to balance analysis with development
Experience in defining data tracking needed to evaluate business cases
Experience with event logging, Adobe tagging, and third-party data ingestion
Ability to consult and outline data needs for the business
Experience in supporting feature rollouts and conducting impact analysis
Ability to run A/B tests and evaluate feature performance
Experience in designing experiments and conducting exploratory analyses
Ability to develop predictive models and identify new opportunities for impact