Note: The job is a remote job and is open to candidates in USA. Municipal Credit Union is a financial institution that has been serving its members for over 100 years. They are seeking a Product Data Scientist who will analyze data to guide growth strategies and support product development through advanced analytic techniques.
Responsibilities
- Identity and prepare structured and unstructured data for analysis
- Conduct in-depth analysis to inform product development, member segments and personalization efforts
- Develop econometric and machine learning models to drive insights and support growth
- Work with business partners and the Director of Strategic Insights to identify and prioritize projects with the greatest potential for impact
- Translate analysis results into business-oriented action items
- Communicate results to marketing and other business leaders
- Develop processes and methods for tracking impact of recommendations
- Serve as a ‘data end user’ SME to identify areas of improvement for data processes and systems
- Partner with marketing to evaluate and optimize campaign performance, leveraging product and member data to improve targeting, conversion, and ROI
- Onboard, train, and provide ongoing guidance for analysts ensuring consistency in analytics processes, data interpretation, and reporting standards
- Serve as a cross-functional analytics resource for initiatives that span across the marketing and product division
- Perform other related duties as assigned
Skills
- Bachelor's degree in Math, Statistics, Data Science, Engineering, or another quantitative field
- 5+ years in an analytical position, including experience with modeling, A/B testing, causal inference, or other advanced techniques
- Proven ability to aggregate and synthesize larger data sets from multiple sources
- Proficiency with Python, R, or other analytic language
- Proficiency with SQL, including CTEs and window functions
- Proficiency with Power BI, Tableau, or other BI tools
- Strong presentation skills and ability to communicate complex ideas simply
- Strong reporting, decision making, analytical and problem-solving skills
- Ability to perform in a high-volume environment and meet deadlines while maintaining exceptional attention to detail
- Master's Preferred in Math, Statistics, Data Science, Engineering, or another quantitative field
- Experience in financial services
Benefits
- Discretionary bonus
- 401(k) with an 6% employer match per pay period
- Medical
- Vision
- Dental
- Life
- Disability insurance
- Flexible paid time off
- 11 paid holidays annually
Company Overview