Data Scientist - Predictive Modeling for Subscription Applications - Remote

Overview

We are seeking a highly skilled and experienced Data Scientist to join our team. The primary responsibility of this role will be the development and integration of a predictive Lifetime Value (pLTV) model specifically for our subscription applications. This role requires a strong understanding of statistical modeling, machine learning, and data engineering principles, with a focus on delivering actionable insights to drive business growth.

In Short

• Design, develop, and implement advanced pLTV models for subscription applications.
• Collaborate with data engineers for clean and reliable data acquisition.
• Validate model performance and continuously refine based on new data.
• Integrate the pLTV model with engineering, product, and marketing teams.
• Establish monitoring mechanisms for model performance.
• Design and execute A/B tests to evaluate pLTV-driven strategies.
• Communicate complex findings to technical and non-technical stakeholders.
• Stay updated on advancements in data science and machine learning.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or related field.
• 3+ years of experience in data science with predictive models.
• Proficiency in Python and/or R.
• Strong experience with SQL for data extraction.
• Understanding of machine learning algorithms.
• Experience with big data technologies is a plus.
• Deep understanding of customer lifetime value concepts.
• Excellent problem-solving and analytical skills.

Benefits

• Flexible career path with internal training and external learning budget.
• Flexible schedule and option for full remote work.
• Competitive salary and top-tier private health insurance.
• 25 days of vacation plus your birthday off.
• Office perks including free coffee, snacks, and a game room.