jobapplier

Senior Data Scientist

Archer

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