N
Data Scientist
Nadia Kowalski
Full-time · Mid-level · New_York
About the role
You've shipped models to production. You know the difference between a model that performs well in a notebook and one that holds up when real users and real data pressure-test it for six months. You're comfortable with the full cycle — hypothesis formation, exploratory analysis, feature engineering, model training, evaluation, and a clean handoff to the engineering team. You probably have a strong opinion about when not to use a neural network. We're building predictive analytics for a B2B HR platform: churn prediction, hiring velocity forecasting, and early warning signals for account health. We have 200+ customers and three years of data. The job is real, the data is real, the stakes are real. We're a team of two data scientists and three engineers. Everyone reviews everyone's code. We move fast but we don't ship broken things.
Responsibilities
- Own two to three predictive models from hypothesis to production deployment
- Conduct exploratory data analysis and present findings to the product team
- Collaborate with engineers on feature engineering and model integration
- Monitor model performance in production and iterate based on drift signals
- Document modelling decisions, experiments, and assumptions clearly
Requirements
- 3–5 years in data science with at least two models shipped to production
- Strong Python — PyTorch or TensorFlow for deep learning, Pandas and Scikit-learn for everything else
- Solid statistical grounding: hypothesis testing, confidence intervals, Bayesian reasoning
- Comfort with R for statistical analysis and visualisation is a significant plus
- Clear communication — you can explain a model's tradeoffs to a non-technical product manager
- Experience with HR or SaaS data is helpful but not required
Benefits
- Ownership of real models used by real paying customers
- Full remote, overlap required with US Eastern hours 10am–3pm
- $95,000 – $120,000 base salary + equity
- Research time — one day per quarter for self-directed exploration
- Annual team offsite (last one was Lisbon)
Job Type
Full-time
Level
Mid-level
Language
English
Salary Range
$95,000 – $120,000
AI Expertise
data science & analytics
Ready to apply for this role?
Create a free talent account in under 2 minutes.
- Apply to verified AI companies
- Get AI-matched job recommendations
- Message hiring managers directly
- Build your public AI talent profile