Responsibilities

• Lead performance tracking and reporting for marketing campaigns and customer engagement programs.
• Design and manage KPIs to evaluate marketing effectiveness.
• Develop machine learning models to predict customer behavior and optimize marketing outcomes.
• Perform data mining and advanced analytics on large datasets.
• Develop and maintain dashboards and reporting frameworks.
• Translate data into actionable insights for stakeholders.
• Collaborate with internal teams and agencies to optimize customer marketing and communications campaigns.
• Apply process improvement methodologies to marketing operations.
• Experience with ETL (extract, transform, load) process and application.
• Perform analysis and present results in a clear manner.

Requirements

• Bachelor’s degree in Computer Science, mathematics, statistics, economics, finance, Data Science or other relevant quantitative field; or equivalent experience.
• At least one year experience in applying quantitative methods and building production quality machine learning models in a classroom, or laboratory setting.
• Undergraduate degrees in Data Science satisfy the one year experience requirement.
• Proficiency with Python or R.
• Strong working knowledge of SQL.
• Experience with visualization tools like Tableau or Power BI.
• Ability to synthesize large quantities of statistical data and complex analyses into actionable information.
• Ability to collaborate and participate in direct data science and data management projects and project teams.
• Familiar with all categories of security and regulated data and information.

Preferred

• Graduate degree in quantitative field.
• Experience with working with AWS, Azure or other cloud-based platforms.
• Experience supporting marketing, digital communications, customer engagement, or brand reputation initiatives through data analysis and performance
• Knowledge of marketing analytics methodologies including campaign attribution, customer segmentation, A/B testing, engagement scoring, and conversion
• Strong understanding of data storytelling and presentation techniques for marketing and executive audiences
• Experience working with SAP data.
• Natural curiosity and desire to learn, a passion for solving real world problems.
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.

Benefits

• Employees are eligible for medical, dental, vision, basic life, and short- and long-term disability insurance. There are additional voluntary options of supplemental life insurance, accidental death and dismemberment insurance, flexible spending accounts for health care and dependent daycare, and an Employee assistance program (EAP). For long term savings, PSE offers a 401(k) investment option and a cash balance retirement plan. Employees will also receive Paid Time Off (PTO) and Paid Holidays throughout the calendar year.