Full-Time

Lead Data Science Analyst

Posted on 1/9/2025

Discover

Discover

Compensation Overview

$105.5k - $147.1kAnnually

+ Incentives

Mid, Senior

No H1B Sponsorship

Wheeling, IL, USA

Category
Data Science
Data & Analytics
Required Skills
Data Science
Data Analysis

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Degree
Experience
Requirements
  • Bachelor's degree 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
  • Masters degree in Analytics, Engineering, Mathematics, Statistics, or related field.
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.

Company Stage

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Total Funding

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Headquarters

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Founded

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INACTIVE