Lead Data Science Analyst

Role Description

Responsible for working closely with management to execute analytical initiatives.

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  Solving business problems by leveraging techniques such as segmentation, optimization, advanced analytics, and machine learning.
  


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  Creating reports and dashboards to closely monitor performance metrics and provide insights.
  


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  Actively managing and escalating risk and customer-impacting issues within the day-to-day role to management.
  

How You’ll Do It:

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  Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, and machine learning algorithms & recommendations to solve business problems.
  


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  Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
  


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  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.
  


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  Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
  


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  Establishes and maintains effective performance tracking; identifies improvement opportunities, forms hypotheses, proposes, designs, and implements tests to drive strategy enhancement and optimization.
  


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  Manages multiple priorities, communicates business performance and project progress to management & business partners.
  


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  Develops and automates reports, iteratively builds and prototypes dashboards to provide insights at scale, solving for analytical needs.
  


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  Facilitates implementation of work product and ensures accuracy.
  


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  Consistently follows standard work processes and documentation requirements.
  


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  Recommends improvements to work processes to increase efficiency while maintaining quality of work.
  


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  Continuously improves technical and leadership skills through training and development.
  

Qualifications

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  Bachelor’s in Analytics, Engineering, Statistics or related field.
  


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  4+ Years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
  

Requirements

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  Primarily remain in a stationary position.
  


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  No required movement about the work environment to complete the major responsibilities of the job.
  


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  Primarily performed indoors in an office setting.
  


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  Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator.
  


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  Ability to communicate verbally.
  


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  Ability to communicate in written form.
  

Benefits

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  Paid Parental Leave
  


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  Paid Time Off
  


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  401(k) Plan
  


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  Medical, Dental, Vision, & Health Savings Account
  


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  Short and Long Term Disability, Life, and Accidental Death & Dismemberment insurances
  


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  Recognition Program
  


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  Education Assistance
  


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  Commuter Benefits
  


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  Family Support Programs
  


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  Employee Stock Purchase Plan