Principal Data Science

Key Skills

Analytical and Problem solving, Data Modeling, Data science techniques, Java Programming, Large scale data processing, Leadership, Python Programming, Risk Analytics, SQL

Job Description

Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. 

Responsibilities 

• Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. 
• Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
• Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.
• Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. 
• Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. 
• Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development. 

Minimum Qualifications 

At a minimum, here’s what we need from you: 

• Bachelor’s Degree in Analytics, Engineering, Statistics or related field 
• 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field 

Preferred Qualifications 

If we had our say, we’d also look for: 

• Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field 
• 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field