Pentangle Tech Services | P5 Group
Overview
Job Title:
Data Scientist Company:
Pentangle Tech Services | P5 Group Location:
Chicago, IL Opportunity:
Senior Data Scientist – Aviation Analytics (7+ years) 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). 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. Preferred Qualifications
FOQA, QAR/DFDR, ACMS, AID, ATA chapters, MSG-3/CBM, AMOS/RAMCO/TRAX. Safety programs (ASAP/SMS/LOSA), ICAO Annex 19 context; EASA/FAA exposure. Seniority level
Mid-Senior level Employment type
Full-time
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Job Title:
Data Scientist Company:
Pentangle Tech Services | P5 Group Location:
Chicago, IL Opportunity:
Senior Data Scientist – Aviation Analytics (7+ years) 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). 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. Preferred Qualifications
FOQA, QAR/DFDR, ACMS, AID, ATA chapters, MSG-3/CBM, AMOS/RAMCO/TRAX. Safety programs (ASAP/SMS/LOSA), ICAO Annex 19 context; EASA/FAA exposure. Seniority level
Mid-Senior level Employment type
Full-time
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