Senior Data Scientist — End-to-End ML, Remote/Hybrid

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

Benefits offered by this job

Flexible work schedule

Remote work options

Professional development support

Travel discounts

Job summary

ETG seeks an experienced Data Scientist/ML Engineer to own the full ML lifecycle, delivering business impact and fast time-to-market. You will partner with data engineers and analysts to build robust data pipelines, define metrics, and optimize the look-to-book and pricing workflows.

Strong SQL, PySpark, and production-grade Python skills are required. Nice-to-have experience in TravelTech or B2B APIs, NLP embeddings, and multi-objective optimization, plus a flexible work arrangement including

Qualifications

• 4+ years hands-on experience as a Data Scientist or ML Engineer.
• Ability to translate business objectives into ML tasks.
• Solid knowledge of classical ML methods (gradient boosting, classification, regression).
• Proven experience with entity matching and recommender systems.
• Experience with terabytes-scale data and SQL; PySpark pipelines.
• Production-quality Python, testing, and microservices (Airflow).

Responsibilities

• Lead ML projects from hypothesis to measurable business impact.
• Collaborate with data engineers and data analysts to build pipelines.
• Translate travel/B2B problems into ML tasks and models.
• Develop, train, and validate models to improve UX and outcomes.

Skills

End-to-End ML

Cross-functional collaboration

ML stack knowledge

Recommendation systems

Big data processing

Production code

Airflow

Python

PySpark

Model evaluation

Education

4+ years in data science or ML

Tools

CatBoost

LightGBM

KNN

FAISS

Job description

ETG seeks an experienced Data Scientist/ML Engineer to own the full ML lifecycle, delivering business impact and fast time-to-market. You will partner with data engineers and analysts to build robust data pipelines, define metrics, and optimize the look-to-book and pricing workflows.

Strong SQL, PySpark, and production-grade Python skills are required. Nice-to-have experience in TravelTech or B2B APIs, NLP embeddings, and multi-objective optimization, plus a flexible work arrangement including