Senior Data Scientist

Posted 8 Days Ago
Be an Early Applicant
Hiring Remotely in Copenhagen, Capital, DNK
Remote
115K-160K Hourly
Senior level
Artificial Intelligence • Machine Learning • Marketing Tech • Software
The Role
Build, deploy, and maintain production ML models and feature engineering pipelines for subscriber retention and lifecycle optimization. Design data pipelines, validate and monitor model performance, and develop LLM-powered RAG systems to enable personalized lifecycle initiatives for large consumer subscription brands.
Summary Generated by Built In

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 🛶

Skills Required

  • Proficiency with Python
  • Built and deployed production machine learning models
  • Experience with experiment design and A/B testing
  • Experience with Google Cloud Platform
  • Degree in computer science, machine learning, mathematics, statistics, or related field
  • Strong bias toward action and ability to work autonomously in a fast-paced environment
  • Anti-meeting culture mindset and value-focused work time
  • Prefer a primarily in-office way of working
  • Comfort working at an early-stage, high-intensity startup
  • Experience with BigQuery
  • Experience with dbt
  • Experience with Terraform
Am I A Good Fit?
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The Company
0 Employees

What We Do

Subsets is an AI-driven lifecycle growth and retention automation platform purpose-built for consumer subscription businesses. The company provides a no-code AI decisioning layer that allows commercial teams to automate lifecycle experimentation, orchestrate personalized user journeys, and optimize retention and lifetime value (LTV) by predicting key audiences and analyzing behavioral drivers of churn.

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