S
subsetsvia Ashby
Senior Data Scientist
Copenhagen$115K - $160K/yrPosted 4mo ago
Data ScientistSeniorFull-time#ai-lab
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About the Role
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.
Tech Stack
- Python, Google Cloud Platform, BigQuery, dbt, Terraform
You may be a great fit if you have
- (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
Perks
- 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 🛶
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.
Tech Stack
- Python, Google Cloud Platform, BigQuery, dbt, Terraform
You may be a great fit if you have
- (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
Perks
- 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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