Senior Data Scientist - End-to-End ML for Travel & B2B

RiseMe

Georgia

Hybrid

USD 120,000 - 170,000

Full time

4 days ago
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Benefits offered by this job

Flexible work model
Remote or Hybrid options
Professional development
Language learning support
Corporate travel discounts
MyTime Day Off

Job summary

Emerging Travel Group is seeking a Data Scientist/ML Engineer in the United States (Georgia) to own end-to-end ML initiatives. You will collaborate with data engineers and analysts to turn business questions into ML tasks, build production pipelines, and evaluate experiments that move the needle for B2B travel experiences.

You will design models for look-to-book, dynamic pricing effects, and multi-objective optimization while ensuring production readiness with Python, PySpark, and Airflow.

Qualifications

  • At least 4+ years as a Data Scientist or ML Engineer.
  • Translate business objectives into clear ML tasks.
  • Solid knowledge of classic ML, classification, regression, and ranking.

Responsibilities

  • End-to-End ML Ownership: lead projects from hypothesis to measurable impact.
  • Cross-functional collaboration with Data Engineers and Analysts on pipelines, metrics, and A/B tests.
  • Translate travel/B2B problems into ML tasks like look-to-book, pricing, and look-to-book optimization.
  • Develop, train, validate, and productionize models to improve the B2B user experience.

Skills

Data Scientist
Business Mindset
ML Algorithms
Recs & Ranking
Big Data
Python Production
Airflow
PySpark
SQL

Tools

PySpark
SQL
Airflow

Job description

Emerging Travel Group is seeking a Data Scientist/ML Engineer in the United States (Georgia) to own end-to-end ML initiatives. You will collaborate with data engineers and analysts to turn business questions into ML tasks, build production pipelines, and evaluate experiments that move the needle for B2B travel experiences.

You will design models for look-to-book, dynamic pricing effects, and multi-objective optimization while ensuring production readiness with Python, PySpark, and Airflow.

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