Company hidden

12 часов назад

Data Scientist III (AI)

Формат работы

hybrid

Тип работы

fulltime

Грейд

senior

Английский

Страна

Вакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:

TL;DR

Data Scientist III (AI) (Python/C++/Machine Learning): Developing statistical models, forecasting techniques, and machine learning algorithms for airline revenue performance, retailing, distribution, and traveler experience with an accent on predictive analytics, customer behavior modeling, and production-quality data tools. Focus on calibrating models, deploying them in cloud environments, collaborating on C++ and Python implementations, and monitoring model accuracy and performance.

Location: Dallas-Fort Worth Metroplex, United States of America; hybrid work

Company

hirify.global is an AI-native travel technology company providing cloud-native retailing, distribution, and fulfillment solutions for airlines, hoteliers, agencies, and other travel partners.

What you will do

Partner with airline subject matter experts to turn operational and consumer data into predictions that improve customer behavior and business performance.
Develop, test, calibrate, and benchmark statistical models, forecasting techniques, and machine learning algorithms.
Source data from multiple platforms and create data manipulation scripts in R, Python, Perl, and bash.
Collaborate with software engineers on production-quality C++ and Python code for forecasting and data analytics tools.
Monitor data accuracy and model performance, resolve software improvements, and address customer complaints.

Requirements

Advanced degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning, or a related quantitative discipline.
Advanced Python and modern C++ programming skills, with proficiency in R, SQL, PySpark, Perl, bash, Java, or JavaScript.
Ability to apply regression, distributions, hypothesis testing, clustering, decision trees, neural networks, and other statistical and machine learning techniques to real-world problems.
Experience deploying statistical and machine learning models in cloud environments using services such as Amazon SageMaker and Amazon Forecast.
Strong communication skills and experience presenting graphical analytics to clients, sales teams, and software engineering teams.

Nice to have

Industry experience or domain knowledge in airline, hospitality, or retailing decision support systems.
Experience developing customer choice models, price elasticity estimations, and market potential estimations.
Understanding of airline distribution, pricing, revenue management, NDC, and Offer/Order Management concepts.

Culture & Benefits

Flexible work options in an inclusive, collaborative environment.
Competitive pay and performance-based bonuses.
Comprehensive healthcare coverage, generous PTO, and holidays.
Retirement planning support and family-friendly benefits.
Professional development opportunities.

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