Lead Data Science Analyst

Discover; Riverwoods (IL); On-site; USD 100,000 - 148,000; Full time

Job summary

This innovative firm in digital banking offers a unique opportunity for a data-driven professional to lead the development of advanced analytics and machine learning initiatives. In this role, you will collaborate with cross-functional teams to conduct comprehensive analyses, deliver impactful presentations, and develop automated reports that drive strategic enhancements. With a focus on customer segmentation and performance tracking, you will play a crucial role in shaping business analytics and strategy. Join a collaborative and inclusive work environment where your contributions will directly influence the company's success and growth.

Benefits

Paid Parental Leave

Paid Time Off

401(k) Plan

Professional development opportunities

Education assistance

Collaborative work environment

Qualifications

• 4+ years of experience in Credit Risk, Fraud Risk, or Marketing Analytics.
• Proficiency in statistical analysis and data science methodologies.

Responsibilities

• Lead advanced analytics development including customer segmentation and machine learning.
• Collaborate with partners for end-to-end analysis and presentations.

Skills

Statistical analysis

Data science methodologies

Communication skills

Education

Bachelor’s degree in Analytics

Master’s degree in Analytics

Job description

Employer Industry: Digital Banking and Payments

Why consider this job opportunity:

1. Salary up to $147,100
2. Additional incentives as part of a competitive total compensation package
3. Comprehensive benefits including Paid Parental Leave, Paid Time Off, and a 401(k) Plan
4. Opportunities for professional development and education assistance
5. Collaborative and inclusive work environment
6. Role offers the chance to make a significant impact on business analytics and strategy

What to Expect (Job Responsibilities):

1. Lead the development and implementation of advanced analytics including customer segmentation and machine learning algorithms
2. Collaborate with cross-functional partners to conduct end-to-end analysis and deliver presentations to leadership
3. Establish and maintain performance tracking, identifying improvement opportunities and designing tests for strategy enhancement
4. Manage multiple priorities and communicate business performance to management and partners
5. Develop and automate reports and dashboards to provide insights and facilitate implementation

What is Required (Qualifications):

1. Bachelor’s degree in Analytics, Engineering, Statistics, or a related field
2. Minimum of 4 years of experience in Credit Risk, Fraud Risk, Marketing Analytics, or a related field
3. Proficiency in statistical analysis and data science methodologies
4. Strong communication skills, both verbal and written
5. Ability to operate office equipment and manage tasks in a primarily stationary position

How to Stand Out (Preferred Qualifications):

1. Master’s degree in Analytics, Mathematics, Engineering, Statistics, or a related field