Marketing Data Scientist

Job Description

PSE’s Communications Strategy team is looking for a Marketing Data Scientist to lead the development, measurement, and optimization of marketing, customer engagement, and communications performance through advanced analytics, data science, and business intelligence. This role integrates marketing strategy with data‑driven insights to support company‑wide marketing efforts and corporate priorities.

The responsibilities of this role combine statistical analysis, machine learning, and business analytics to evaluate campaign performance, forecast customer behavior, and optimize marketing effectiveness. In addition, the data scientist will develop production‑quality models, dashboards, and reporting frameworks that enable data‑driven decision‑making across marketing and customer experience functions.

The Marketing Data Scientist will partner cross‑functionally with marketing, customer insights, analytics, regulatory, and external agencies to deliver actionable insights that improve engagement, enhance customer experience, and support corporate goals.

All PSE employees are expected to uphold the safety compliance standards inherent in PSE’s operating and/or field procedures related to work responsibilities and promote and support a culture of total safety. Additionally, employees must demonstrate commitment to conduct business honestly, ethically and consistently with our core values and Code of Conduct. All duties are performed in accordance with regulatory compliance obligations.

• 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.
• Enhance data collection procedures to include information that is relevant for building user solutions by processing, cleansing, and verifying the integrity of data used for analysis.
• Communicate and collaborate across groups to provide insights to the organization.
• Data mining using state‑of‑the‑art methods.
• Perform ad‑hoc analysis and present results in a clear manner.
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
• Optimize joint development efforts through appropriate database use and project design.
• Perform other duties as assigned.

• 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 data science and data management projects and project teams.
• Familiar with all categories of security and regulated data and information.

• 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…