AI Summary
Join the early team at subsets to build and own ML/AI models and feature engineering systems for CRM and Lifecycle automation. Develop and deploy machine learning models to drive subscriber retention and churn prediction. Work in a lean, high-performing team with a significant impact.
Key Highlights
Build and own ML/AI models and feature engineering systems
Develop and deploy machine learning models
Work in a lean, high-performing team
Key Responsibilities
Develop and deploy machine learning models
Own and develop new ML features
Design and implement data pipelines and feature engineering workflows
Technical Skills Required
Benefits & Perks
Competitive salary and equity
Company card for office food/snacks
Relocation support
Nice to Have
Experience with experiment design and A/B testing
A degree in computer science, machine learning, mathematics, statistics, or a related field
Job Description
Subsets (YC S23) is an early-stage startup building the future of AI-driven subscription growth. As a Senior Data Scientist, you will join the early team to build and own the ML/AI models and feature engineering systems that power CRM and Lifecycle automation for millions of subscribers across some of the largest consumer subscription brands in the world.
What You Will Do
- develop and deploy machine learning models that drive subscriber retention, churn prediction, and lifecycle optimization.
- own and develop new ML features from conception to deployment, ensuring reliability and scalability across our product.
- design and implement data pipelines and feature engineering workflows that feed production ML systems.
- deepen our predictive capabilities to unlock new product features and insights for our customers.
- ensure model quality and data integrity through proper validation, monitoring, and performance tracking.
- building data pipelines and LLM-powered RAG systems on proprietary experimental data to drive personalized lifecycle initiatives.
- work in a lean, high-performing team where you will have a significant impact and assume significant responsibility.
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- Python, Google Cloud Platform, BigQuery, dbt, Terraform
- (Required) you have proficiency with Python.
- (Required) built and deployed production machine learning models.
- experience with experiment design and A/B testing.
- experience with Google Cloud Platform.
- a degree in computer science, machine learning, mathematics, statistics, or a related field.
- a strong bias toward action and the ability to work autonomously in a fast-paced environment with loosely defined tasks.
- an "anti-meeting" culture mindset and value-focused work time.
- you prefer a primarily in-office way of working
- you’re energized by the pace and intensity of early-stage startups
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
- competitive salary and equity (equity under favorable Danish tax conditions pursuant to Ligningsloven
- 7P).
- company card for all things office food/snacks.
- great breakfast and lunch - and dinner when working late in the office.
- relocation support if you do not live in Copenhagen.
- office kayaks 🛶
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