Position Details
About this role
This leadership role involves developing advanced analytics models, customer segmentation, and demand forecasting to guide strategic decisions in SaaS products.
Key Responsibilities
- Develop customer segmentation models
- Forecast demand and engagement
- Lead data science teams
- Influence product strategy
- Build scalable machine learning pipelines
Technical Overview
The technical environment includes Python, SQL, time series models like ARIMA and Prophet, unsupervised learning, and visualization tools such as Tableau. The focus is on predictive modeling and customer insights.
Ideal Candidate
The ideal candidate is a senior data scientist with over 10 years of experience in advanced analytics, customer segmentation, and time series forecasting. They have strong leadership skills, experience with unsupervised learning, and proficiency in Python, SQL, and Tableau.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years of experience, Lack of Python or SQL proficiency, No experience with time series forecasting or customer segmentation, No leadership or team management experience
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