Data Scientist
Skills
Computer ScienceContextDriftEnhanced Data Rates For GSM EvolutionLabelsModelingTrend Analysis
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's or Master's in Data Science Computer Science Statistics Mathematics or related field or equivalent experience
- 3+ years in data science ML or applied quantitative analysis
- Strong applied statistics and experimental design skills for noisy non-deterministic outputs
- Experience building deploying and monitoring predictive or time-series models in production including recalibration
- Demonstrated work evaluating analyzing or improving LLM or NLP systems
- Proficiency in Python
- Strong SQL and comfort querying large analytical datasets
- Fluency with foundation models and hands-on experience with LLM evaluation and tooling
- Ability to build analysis and visualization in code
Nice to have
- Compute constrained
- Latency aware
- Security conscious
- Analytical
- Collaborative
Day to day
- Design and own evaluation harnesses for LLM and agentic outputs, including golden sets regression suites and rubric-based scoring
- Build and calibrate LLM-as-judge pipelines and validate judges against human labels while controlling bias and variance
- Create production forecasting anomaly detection and early-warning models over operational telemetry and wire predictive signals into LLM and agent workflows