Job Description:
Senior Data Scientist – Aviation Analytics (7+ years)
Mandatory Skills:
• - 7+ years in Data Science with 3+ years in aviation or large-scale event/time-series domains.
• - Strong in Python, SQL, Spark; hands-on with time-series, anomaly detection, Bayesian methods.
• - AWS: SageMaker, S3, Glue, EMR, Lambda, Step Functions, CloudWatch.
• - Streaming/event data: Kafka/MSK or Kinesis, Spark Structured Streaming/Flink.
• - MLOps: MLflow/Kubeflow/SageMaker, CI/CD, IaC.
• - Model monitoring & explainability (drift, SHAP/LIME).
Key Responsibilities:
• - Translate business problems into ML solutions.
• - Build models for time-series forecasting, anomaly detection, survival analysis, clustering, and optimization.
• - Engineer features from flight logs, ACARS, ADS-B, maintenance logs, and weather data.
• - Productionize models on AWS with CI/CD, model registry, feature store, and monitoring.
• - Collaborate with Data Engineering to ensure data quality, lineage, and governance.
• - Communicate insights and model decisions to non-technical stakeholders.
Lead advanced analytics and ML initiatives for airlines/aero programs—spanning flight telemetry, aircraft health monitoring, operational efficiency, delay attribution, fuel optimization, and safety insights. Own end-to-end model lifecycle from problem framing to production in AWS (multi-cloud is a plus).
Preferred Qualifications:
• - FOQA, QAR/DFDR, ACMS, AID, ATA chapters, MSG-3/CBM, AMOS/RAMCO/TRAX.
• - ADS-B, ACARS, IATA SSIM, OOOI timestamps, delay codes, fuel/weight & balance analytics.
• - Safety programs (ASAP/SMS/LOSA), ICAO Annex 19 context; EASA/FAA exposure
...population. It is the policy of Aivres to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled...
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