The Motley Fool is looking to enhance its products and customer experience through data-driven innovation, specifically by developing solutions to predict and mitigate customer attrition, optimize personalization, and leverage AI/LLM technologies.
Requirements
- Experience with AI/LLM technologies and understanding of their practical applications
- Strong proficiency in Python, SQL, and ML frameworks.
- Experience with dashboarding tools (e.g., Tableau, Power BI, or Looker).
- Familiarity with cloud data platforms (AWS, Snowflake).
- Background in marketing analytics, customer segmentation, or retention modeling.
- Strong understanding of experimentation and A/B testing techniques.
Responsibilities
- Design, build, and maintain churn prediction models to identify and mitigate customer attrition.
- Develop predictive and recommendation models to optimize personalization and engagement strategies.
- Lead exploratory data analysis and modeling for AI and LLM (Large Language Model)-based projects.
- Analyze and interpret marketing and customer datasets to uncover insights that inform business decisions.
- Develop and automate dashboards and reports to track key performance indicators and communicate findings to stakeholders.
- Stay current with advances in machine learning, AI, and data infrastructure, applying them where relevant.
Other
- This is a senior-level contract role that requires a minimum of 5 years of relevant experience.
- It is an independent contract position requiring ~40 hours of work per week for at least 12 months.
- The role is 100% remote.
- Proven ability to translate complex data insights into actionable strategies for cross-functional teams.
- Excellent communication skills and the ability to lead analytics discussions with technical and non-technical stakeholders.
