Data Scientist

About the Role

Key Responsibilities

• Control end-to-end campaign experiments, including designing measurement plans, KPI frameworks, and performance analysis.
• Perform complex data research and analysis to support marketing campaigns, benefit events, and business operations.
• Develop data mining and analysis methodologies to create algorithms and predictive models.
• Perform custom statistical reporting and analysis with data automation based on business needs.
• Liaise with stakeholders and partners to develop and implement data mining protocols, architectures, and models.
• Evaluate the accuracy of statistical reporting and interpret data analyses to generate insights.
• Create data visualizations to track marketing KPIs, understand client relationships, and improve services.
• Communicate insights from analyses to management and senior leadership to support decision making.
• Research emerging data science principles and techniques to inform business decisions.
• Review and provide coaching on data modeling, statistical reporting, and analysis performed by lower-level data scientists.

Requirements

• Bachelor's degree in Quantitative Methods, Statistics, Computer Science, or a related field of study.
• Three years of experience in a related occupation, or alternatively, a Master's degree with one year of experience.
• Experience in controlling campaign experiments, data research, and analysis.
• Knowledge of data mining, statistical modeling, and machine learning techniques.
• Ability to communicate insights effectively to management and stakeholders.
• Up to 5% domestic travel required.

Nice to Have

• Experience with audience insights, segmentation, and campaign management.
• Skills in marketing analytics, channels, and search engine marketing.
• Collaboration, influence, and relationship management skills.
• A continuous improvement mindset and a test-and-learn mentality.

Qualifications

• Formal educational background in relevant quantitative or technical fields.
• Experience with statistical reporting, data analysis, and predictive modeling.
• Ability to interpret complex data and communicate insights effectively.

Benefits & Perks

• Competitive salary range of $130,000 to $180,000 per year.
• Participation in incentive programs linked to performance.
• Comprehensive Total Rewards package including retirement, health, wellness, and work-life benefits.
• Support for financial well-being and physical, emotional, and financial health.