Analyze Messages Obtained During Flight Jobs

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In the era of data‑driven aviation, analyzing in‑flight messages is critical for safety, efficiency, and regulatory compliance. Airlines, airports, and defense contractors are expanding their data teams, driving a surge in demand for specialists who can unlock insights from ACARS, ADS‑B, and satellite telemetry.

Typical roles range from Flight Data Analyst to Aviation Data Scientist. Analysts sift through thousands of in‑flight messages, clean and transform raw telemetry, and build SQL or Python pipelines to detect anomalies. Data scientists apply machine‑learning models on ADS‑B streams, predict maintenance needs, and generate dashboards for flight operations.

Salary transparency is vital because in‑flight message analysts often work across multiple stakeholders—flight crews, maintenance teams, and regulatory bodies. Knowing the exact pay range helps candidates negotiate fair compensation and ensures that expertise in niche tools like OpenSky Network APIs, PyADS, and SAS is properly valued.

Systems Analyst - CS Workforce Management

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Systems Analyst CS Workforce Management role supports and optimizes the global WFM platform, collaborating with cross-functional teams to ensure stability, accuracy, and continuous improvement. The role involves administering, maintaining, and optimizing the WFM platform, integrating third-party tools, validating data, and providing technical support. The successful candidate will have a strong understanding of WFM platform data structures, integrations, and reporting, along with excellent analytical, troubleshooting, and communication skills.

Studio Director - ISX3 (Games)

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix seeks a Studio Director to lead game production across global markets, with responsibilities spanning project strategy, team management, and operations. The role requires 15+ years of game industry experience and collaboration with cross-functional teams. Benefits include competitive compensation, comprehensive health plans, and flexible work arrangements.

Data Scientist 5 - Open Connect Experimentation

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Open Connect Data Science and Engineering team uses data to measure and improve Netflix's technical infrastructure. They are seeking a Data Scientist to help with foundational measurement problems in the Open Connect space, as traditional approaches like randomized AB tests are not always possible. The role involves partnering with cross-functional teams to design, analyze, and build reusable tooling for engineering partners.

Principal Product Manager - Games, Social Platform

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is focused on continuously improving its products and delivering new experiences to delight and entertain its growing membership. The Principal Product Manager for Games Social Platform is a senior cross-functional leader responsible for developing and executing the roadmap for bringing members together to play games via social experiences.

Data Scientist (L5) - Customer Service

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company values data science and customer service to deliver top-notch experiences aligned with its business strategy. The role involves leading the evolution of customer service metrics, partnering with various teams, and expanding the use of metrics across Netflix.

Software Engineer 5 - Ads Supply

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They offer a variety of content across genres and languages, with features like pause and resume. In November 2022, they launched an ads-supported tier to attract new members and advertisers. The Ads Platform Engineering team develops advertising systems, while the Ads Supply Engineering team focuses on expanding the advertising platform. They seek experienced engineers for ad serving, inventory sharing, and programmatic integrations.

Software Engineer L5 - Build and Release Tools, Machine Learning Platform

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Model Observability & Lifecycle Management teams provide a centralized MLOps platform to multiply productivity for ML researchers. The Build and Release group is building a monorepo environment for ML engineers and researchers, seeking strong build engineers with experience in B&R best practices at scale.

Software Engineer 4 - Web & TV Player

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Web & TV Player team is responsible for playback functionality across various platforms, managing aspects like state machine, license management, and streaming media delivery. The team comprises engineers with diverse expertise and collaborates with other teams for product development and experimentation.

Distributed Systems Engineer (L5) - Content & Business Products

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Content & Business Products Engineering team builds products and services to optimize content creation, from planning to distribution. They are seeking talented distributed systems engineers to help scale their efforts globally and work on projects like Squid Game, Stranger Things, and The Queen's Gambit.

Data Scientist - Ads

Company: Reddit

Location: Remote

Posted Nov 17, 2025

Reddit is a remote-friendly company with a flexible workforce. The company's primary revenue driver is advertising, and they aim to build a massive business. The Ads Data Science team leverages data to maximize advertiser value and improve the advertising platform. The role involves analyzing large datasets, developing ML models, and collaborating with stakeholders to drive impact.

Senior Product Designer - Games Access and Identity

Company: Netflix

Location: USA

Posted Nov 17, 2025

This job description highlights Netflix's opportunity to shape the future of Netflix Games, emphasizing strategic design challenges, collaborative culture, and growth potential. The role focuses on access experiences, identity frameworks, and cross-functional collaboration while celebrating diversity and inclusion.

Research Scientist/Engineer L5/L6 - AI for Member Systems

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company invests in understanding members and building personalized experiences to help them find their next favorite story. Applied machine learning research at Netflix drives various aspects of the business, including personalization, recommendations, search, content understanding, messaging, targeting, new member acquisition, and more. The company seeks exceptional individuals to join their team as full-time research scientists to drive applied research and develop production-ready systems.

Frequently Asked Questions

What are the typical salary ranges for entry‑level to senior roles in this field?
Entry‑level Flight Data Analysts earn $70k‑$90k annually. Mid‑level analysts with 3–5 years of ACARS/ADS‑B experience command $90k‑$120k. Senior data scientists or lead aviation analysts can reach $130k‑$170k, especially in major hubs.
Which technical skills and certifications are most sought after?
Proficiency in Python (pandas, NumPy), SQL, and real‑time streaming with Kafka or Spark. Knowledge of ACARS/ADS‑B protocols and tools like OpenSky Network, FlightAware API, and PyADS is essential. Certifications such as FAA ACAS, ICAO Data Analyst, or SAS Certified Data Scientist boost credibility.
Can these roles be performed remotely?
Yes. Most in‑flight message analysis positions support flexible remote setups because data ingestion and model training are cloud‑based. Companies provide VPN access to secure flight data feeds and use collaboration tools like JupyterHub and Teams.
What career progression opportunities exist within this specialty?
Typical paths: Flight Data Analyst → Senior Analyst → Lead Data Scientist → Aviation Analytics Manager → Director of Flight Operations Analytics. Each step adds responsibility for cross‑functional projects, stakeholder management, and strategy.
What are the current industry trends shaping this career?
Regulators are mandating real‑time flight data reporting, driving demand for real‑time analytics. AI is being used to detect anomalies in ACARS packets, while satellite‑based telemetry is expanding to remote airports. Cloud‑native pipelines (AWS Athena, Azure Synapse) and edge‑computing on aircraft are also reshaping the field.

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