The Marketing Data Scientist I applies advanced analytics to support member retention, acquisition, and experience initiatives.
Requirements
- Proficient in Python or R to perform statistical analysis and identify patterns in data
- Proficient in Python or R to build and validate predictive models
- Experience in using Power BI or a similar software to create dynamic data visualizations
- Experience using SQL to retrieve data from a relational database
- Ability to effectively communicate findings from complex analyses to non-technical audiences
- Strong problem-solving skills and ability to work on both individual and collaborative projects
- Experience with Google Analytics (GA) and Google Tag Manager (GTM) or the willingness to learn these tools
Responsibilities
- Apply advanced analytics techniques (e.g., SQL, statistics) to extract actionable insights from financial and member-related datasets that support acquisition, retention, and member experience initiatives.
- Build and maintain predictive models: Supervised models to forecast member behavior or future events—used to reduce churn, personalize recommendations, and more.
- Build and maintain predictive models: Unsupervised models to identify distinct customer segments for targeted marketing strategies.
- Communicate findings effectively by creating reports, dashboards, and presentations tailored to stakeholder needs.
- Collaborate with IT to resolve data-related issues and clarify member data questions.
- Stay current with industry trends and best practices in data science and marketing analytics and share relevant insights with the analytics team.
Other
- Bachelor’s degree in engineering, mathematics, statistics, computer science, data analytics, data science or related field
- Equivalent combination of education and experience
- Master's degree in engineering, mathematics, statistics, computer science, data analytics, data science, or related field
- 1 year of data science experience; a relevant master’s degree may be accepted in lieu of the required experience
- 1+ years of experience working within a financial service institution or a credit union
