Senior Data Scientist
Archer
- San Jose, United States
- Senior Level
- 2+ years
- Bachelor's degree
- Posted
Skills
Required
- telemetry
- data science / machine learning
- leverage AI assistants
- or unlabeled
- data validation
- drift detection
- Pulsar / Kafka / Apache Flink
Preferred
- time-series
- spatial data
- offline analysis
- Python
- SQL
- large analytical datasets
- time-series and sequence modeling
Join our team as a Senior Data Scientist, where you will bridge the gap between raw aviation data and the intelligence that powers our AI platform. You will derive new signals from high-throughput, real-time data streams, build and evaluate models across diverse modalities, and partner with engineers to take models from offline analysis into production. You will also work directly with aviation subject-matter experts to turn operational knowledge into features, labels, and evaluation criteria.
Responsibilities
- Derive new signals from high-throughput, real-time data streams, inferring complex physical and operational states that are not directly observable in the raw telemetry.
- Build, evaluate, and iterate on models across diverse modalities, including dense time-series, spatial data, and highly noisy, unstructured sequential data.
- Partner with backend and platform engineers to take models from offline analysis into production streaming pipelines, and own their behavior once they are live.
- Strong Python and strong SQL over large analytical datasets
- Depth in time-series and sequence modeling
Requirements
- 2+ years of applied data science or machine learning experience, including models that have run in production
- Able to leverage AI assistants to increase velocity while fully understanding and taking absolute ownership of every model, feature, and analysis you ship
- Experience working with sparse, incomplete, or unlabeled data — weak supervision, programmatic labeling, and building evaluation sets where no ground truth exists
- Experience designing data validation and drift detection for continuously arriving data
- BS/MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Operations Research, Aerospace Engineering, or a related quantitative field
- Strong communication skills and a collaborative mindset, including the ability to explain methodology and its limitations to a non-specialist audience
- Prior experience or a deep interest in aerospace, aviation, or high-throughput tracking systems — including familiarity with flight telemetry, ATC phraseology, or airspace procedures
- Familiarity with geographic/spatial data processing — projections, spatial indexing, and great-circle geometry
- Awareness of distributed messaging and stream-processing systems (i.e. Apache Pulsar or Kafka, Apache Flink) and columnar or lakehouse analytical storage
Pay
USD 145,000 - 180,000
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