Lead Data Scientist

NielsenIQ•Chicago, IL

2h•$80,300 - $114,300

About The Position

Our NielsenIQ teams empower our clients to make bold decisions and transform their businesses in trusted data, solutions, and insights designed to drive innovation and growth. The NielsenIQ North America Data Science team is passionate about solving complex client challenges and providing data-driven, actionable, timely, and innovative solutions. This Lead Data Scientist position was created to support our US Data Science initiatives. This position requires someone who is passionate about learning, multi sourced data, data quality, statistical measurement, automation, efficiency, and consumer behavior.

Requirements

Bachelor’s or Master’s Degree with a quantitative discipline.
5-8 Years of professional experience in a quantitative field.
Curiosity to learn and continually upgrade skills.
Disposition to understand processes and methodologies.
Quantitative aptitude.
Problem solving skills.
Proficiency with Python and SQL.
Strong verbal, presentation, and written skills.
Strong planning and organizational skills.
Ability to work independently as well as in a team environment.

Responsibilities

Drive Complex Analyses: Independently lead deep-dive analyses to uncover insights and guide strategic decisions without waiting for detailed instructions.
Manage Multiple Priorities: Effectively balance and deliver on several projects simultaneously in a fast-paced environment.
Act as a Strategic Partner: Represent the Data Science function in cross-functional discussions, influencing decisions and advocating data-driven solutions.
Evaluate and Innovate: Quickly assess existing methodologies, identify gaps, and lead the E2E implementation of improved methodologies or alternative approaches.
Communicate with Impact: Document findings clearly and present actionable recommendations tailored to diverse audiences, ensuring clarity and alignment.
Ensure System Reliability: Detect, troubleshoot, and resolve anomalies across data pipelines and analytical systems to maintain integrity and performance.
Educate and Enable: Translate complex concepts into accessible explanations for stakeholders at varying levels of technical expertise.
Commit to Growth: Continuously expand technical and leadership skillsets, staying ahead of emerging trends and best practices in data science.

Benefits

Comprehensive healthcare plan (medical, Rx, dental, and vision).
Flexible spending accounts and a Health Savings Account (including company contributions).
Life and AD&D insurance.
401(k) retirement plan including company matching contributions.
Disability insurance.
Tuition Reimbursement.
Discretionary paid time off program and 11 paid holidays.
Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)
Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)