Central Point Partners · 1 week ago
Data Scientist with Hands On development experience with R, SQL & Python
Central Point Partners is currently seeking a passionate, data-savvy Senior Data Scientist to join their Enterprise Analytics team. This dynamic role focuses on leveraging data-driven insights to optimize consumer experiences and deliver customer value, while collaborating with various teams across the organization.
Responsibilities
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
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
Support all necessary functions (Amigo, QA, etc.) to ensure data tracking is in place when the feature goes live
Prepare to support launch evaluation and measurement against experimentation design or business case success criteria
Own 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
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
Pursue self-driven initiatives during periods when they are not actively supporting other projects, which 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 tracking and evaluation
Ability to balance analysis with development
Experience in feature and functional design
Experience in feature engineering and development
Experience in feature rollout and performance evaluation
Ability to conduct A/B tests and impact analysis
Strong communication skills
Passion for optimization, data storytelling, and data visualization
Preferred
Experience with Adobe tagging
Experience with third-party data ingestion
Experience in consulting with business on data needs
Experience in connecting business with CDAO and IT warehousing and data engineering partners
Experience in designing experiments
Experience in conducting exploratory analyses
Experience in developing predictive models
Experience in identifying new opportunities for impact