Full-Time Lead Data Science Analyst

Role Description

Responsible for working closely with management to execute analytical initiatives.

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

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

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

How You’ll Do It:

1. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, and machine learning algorithms & recommendations to solve business problems.
2. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
3. 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.
4. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
5. Establishes and maintains effective performance tracking; identifies improvement opportunities, forms hypotheses, proposes, designs, and implements tests to drive strategy enhancement and optimization.
6. Manages multiple priorities, communicates business performance and project progress to management & business partners.
7. Develops and automates reports, iteratively builds and prototypes dashboards to provide insights at scale, solving for analytical needs.
8. Facilitates implementation of work product and ensures accuracy.
9. Consistently follows standard work processes and documentation requirements.
10. Recommends improvements to work processes to increase efficiency while maintaining quality of work.
11. Continuously improves technical and leadership skills through training and development.

Qualifications

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

Requirements

• Primarily remain in a stationary position.
• No required movement about the work environment to complete the major responsibilities of the job.
• Primarily performed indoors in an office setting.
• Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator.
• Ability to communicate verbally.
• Ability to communicate in written form.

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