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Lead Data Science Analyst – Marketing
| Company | Discover |
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| Location | Wheeling, IL, USA |
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| Salary | $105500 – $147100 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- Bachelors degree in Analytics, Engineering, Statistics, or related
- 4+ years Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
Responsibilities
- Responsible for working closely with management to execute analytical initiatives.
- Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning.
- Creates reports and dashboards to closely monitor performance metrics and provide insights.
- Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.
- Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.
- 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.
- Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
- Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.
- Manages multiple priorities, communicate business performance and project progress to management & business partners.
- Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
- Facilitates implementation of work product and ensure accuracy.
- 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.
Preferred Qualifications
- Masters degree in Analytics, Engineering, Mathematics, or Statistics
