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Senior Data Scientist (Pricing)

3 weeks, 5 days ago
France, Serbia, Georgia, Kazakhstan, Turkey, Armenia
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Airflow Dagster Deep Learning Feature Engineering Machine Learning MLflow Prefect Python PyTorch SQL TensorFlow
Apply Now
Emerging Travel Group

Emerging Travel Group

Emerging Travel Group specializes in developing advanced online booking platforms that cater to a diverse clientele, including individual travelers, travel agents, and businesses, while also providing solutions that enhance the visibility of accommodat...

Consumer Services
251-1K
Founded 2010
$64M raised
View All Jobs 19

Description

  • Manage end-to-end machine learning projects from problem definition through solution design, testing, deployment, and support.
  • Work with data engineers to build datasets, define data requirements, and assess feasibility, risks, and constraints.
  • Collaborate with data analysts to design A/B tests, define metrics and splits, interpret results, and recommend deployment decisions.
  • Develop and train classical machine learning and deep learning models, including solutions for text and image embeddings.
  • Perform offline evaluation and error analysis to assess model performance.
  • Deploy models and production code as Python services and support releases and integrations.
  • Own model quality after launch, including metrics, monitoring, drift detection, degradation tracking, and improvement plans.
  • Support operational procedures for production models and ensure ongoing reliability.

Requirements

  • 4+ years of experience as a Data Scientist, with specific experience in pricing tasks.
  • Experience managing end-to-end ML projects in production from setup through support.
  • Strong understanding of classical machine learning, including feature engineering, boosting, classification/regression, cross-validation, threshold selection, and calibration.
  • Experience with deep learning using PyTorch or TensorFlow, including fine-tuning principles and model inference.
  • Production-grade Python skills, including readable code, tests for critical components, packaging of models/artifacts, and service integration.
  • Understanding of ML monitoring, including quality metrics, drift, alerts, diagnostics, and support procedures.
  • SQL proficiency sufficient for independent dataset building, including joins and window functions.
  • Experience with model interpretability and error analysis.
  • Experience with experiment tracking tools such as MLflow, Weights & Biases, or DVC.
  • Experience with orchestration and pipeline tools such as Airflow, Prefect, or Dagster, plus advanced data processing.
  • Conversational English.

Benefits

  • Fully flexible work schedule with no fixed 9:00 AM start requirement.
  • Choice of work format: fully remote, office-based, or hybrid.
  • Internal programs for onboarding, training, soft skills development, and leadership growth tailored individually.
  • Partial compensation for external training and conferences.
  • English language support, including group and individual lessons plus speaking clubs.
  • Corporate prices on hotels and other travel services.
  • Extra paid day off (MyTime Day Off) for health, personal matters, or mental recharge.

Interested in this position?

Apply directly on the company website

Apply Now

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