Senior Data Scientist

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 🛶