Data Scientist with Hands On development experience with R, SQL & Python

Central Point Partners is currently interviewing candidates in the Columbus, Oh area for a large client.

Because this is a Contract to Hire position only GC’s and USC’s.

This position is Hybrid (4 Days onsite)! Only candidates who are local to Columbus, Oh will be considered.

Data Scientist with Hands On development experience with R, SQL & Python

Summary :

Our client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.

Notes from the manager

The skills that will be critical will be Python or R and a firm understanding of SQL along with foundationally understanding what data is needed to perform studies now and in the future. For a high-level summary that should help describe what this person will be asked to do alongside their peers :

I would say this person will balance analysis with development, knowing when to jump in and knowing when to step back to lend their expertise.

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.

For more information about this opportunity, please contact Bill Hart at 614-352-3615 AND email your resume to bill.hart@centralpointpartners.com!