Data Scientist

Pentangle Tech Services | P5 Group; Chicago (IL); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology services firm is looking for a Senior Data Scientist to work on aviation analytics in Chicago, IL. The ideal candidate will have over 7 years of data science experience, particularly in time-series analysis and aviation-related projects. Responsibilities include building ML models, collaborating with engineering teams, and leading initiatives to improve aviation performance. This full-time position is geared towards mid-senior level professionals.

Qualifications

• 7+ years in Data Science with 3+ years in aviation or time-series domains.
• Strong hands-on experience with multiple data science methodologies.
• Experience managing ML projects from model development to deployment on AWS.

Responsibilities

• Translate business problems into ML solutions.
• Collaborate with Data Engineering for data quality.
• Lead ML initiatives for aviation-focused programs.

Skills

Data Science experience

Python

SQL

Spark

AWS

Time-series analysis

Anomaly detection

Tools

AWS SageMaker

Kafka/MSK

CloudWatch

Job description

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