Senior Data Scientist
Job Summary
Owning forecasting and planning initiatives, the hybrid Senior Data Scientist will develop and maintain forecasting models, translate complex data into actionable insights, and partner with various teams to enhance marketing analytics and business planning.
Key responsibilities
- Manage and maintain forecasting models for key marketing and business outcomes, including revenue and customer value
- Develop data science models for customer behavior analysis, segmentation, and retention analysis
- Communicate insights through presentations and dashboards, tailoring information for both technical and non-technical stakeholders
Required qualifications
- 7+ years of experience in data science, machine learning, and forecasting in a business environment
- Strong proficiency in Python, SQL, and data science modeling libraries
- Expertise in time-series analysis, forecasting, and scenario planning
- Experience with marketing analytics and customer lifecycle analysis
- Ability to translate ambiguous business questions into structured analytical plans
Complete Job Description
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