Data Scientist (Look-2-Book)

HireHi; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Flexible schedule

Remote/Hybrid/Office options

Training & development

English language lessons

Travel services discounts

Job summary

HireHi ищет опытного специалиста по данным для ведения ML-проектов в путешествиях и B2B. Ваша роль — перевод бизнес-задач в ML-задачи, создание конвейеров данных и оценочных моделей, а также управление конвейером от идеи до внедрения и измеримого эффекта.

Вы будете сотрудничать с инженерами данных и аналитиками, чтобы определить метрики, провести A/B тесты и улучшить предложение для клиентов, сохраняя качество моделей и скорость вывода на рынок.

Qualifications

• Опыт не менее 4 лет в роли Data Scientist или ML Engineer.
• Умение переводить бизнес-задачи в задачи ML.
• Знание классического ML: градиент Boosting (CatBoost/LightGBM), классификация, регрессия.
• Опыт работы с большими данными, SQL, PySpark.
• Умение писать продуктивный Python код и тесты, деплой моделей, знание Airflow.

Responsibilities

• Руководить ML-проектами от гипотез к бизнес-эффекту и поддерживать качество моделей.
• Сотрудничать с Data Engineers для построения конвейеров данных и с Data Analysts для определения метрик.
• Переводить задачи travel и B2B в математические и ML-моделирования.
• Проектировать и внедрять scoring-модели и оптимизировать конверсию поиска в бронирование.
• Оптимизировать маржу и прибыльность при учёте рисков и требований клиентов.

Skills

Data Science

Machine Learning

SQL

Python

Data Pipelines

Experimentation

Tools

CatBoost

LightGBM

PySpark

FAISS

Airflow

Job description

Описание:

Emerging Travel Group operates in the travel industry.

Задачи:

Lead ML projects end to end, from hypothesis formulation and task setting to measurable business impact, while maintaining production model quality and fast time to market Collaborate with Data Engineers to build production data pipelines and with Data Analysts to understand business context, define metrics, and design and evaluate A/B tests Translate travel and B2B business problems into mathematical and ML modeling tasks Design and deploy scoring models to predict whether search queries will convert into bookings, model how conversion likelihood changes with price and availability, and optimize the search-to-book funnel Optimize margin and profitability while minimizing operational incidents, and recommend trade-offs based on B2B client preferences Predict whether rates and offers will become stale before booking to balance data accuracy, speed, and system load Develop, train, and validate machine learning models to test product hypotheses and improve the B2B user experience

Требования:

At least 4 years of hands-on experience as a Data Scientist or ML Engineer Ability to investigate data, identify underlying business problems, and translate business objectives into clear ML tasks Solid knowledge of classic machine learning, including Gradient Boosting (CatBoost/LightGBM), classification, and regression Proven experience with entity matching and strong understanding of recommendation systems and ranking approaches, including KNN, FAISS, Learning-to-Rank, and pointwise, pairwise, and listwise methods Experience working with massive datasets, excellent SQL skills, and practical experience building pipelines with PySpark Ability to write production-quality Python code and tests, and bring models to production Knowledge of Airflow and Python microservices

Будет плюсом:

TravelTech, E-commerce, or B2B API experience, including knowledge of hotels, rates, and distributors; basic NLP skills and understanding of text embeddings and how to train them; experience with dynamic pricing, multi-objective optimization, or Next Best Action (NBA) systems; a solid foundation in probability theory and mathematical statistics for experiment design and model evaluation

Условия:

Flexible work schedule with no fixed 9:00 AM start time; results are the priority Choose to work fully remotely, from an office, or in a hybrid model Individual adaptation and training programs, including soft skills and leadership development Partial compensation for external training and conferences Group and individual English lessons and speaking clubs Corporate prices on hotels and other travel services An extra MyTime Day Off to focus on health, mental recharge, personal matters, or other important activities