Job description
Manage end-to-end ML projects: problem definition → solution → testing → deployment → support.
Work with data engineers to build datasets and define data requirements, and assess.
feasibility, risks, and constraints Work with data analysts to design and analyze A/B tests: metrics, splits, interpretation of results, and recommendations for deploying solutions.
Develop and train models (classic ML + DL), including solutions for text and image embeddings; conduct offline evaluation and error analysis.
Deploy the model and code to production (Python service), support releases and integrations.
Be responsible for model quality post-launch: metrics, monitoring, drift/degradation, improvement plans, and support procedures.
A fully flexible work schedule — there’s no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward; Each person in our team is encouraged to choose their preferred work format.
You can work fully remotely, come to the office, or choose a hybrid work model; We are an ambitious and supportive team who love what they do, appreciate each other, and grow together; The growth and development of each employee is our priority, so we have internal programs available for adaptation and training, development of soft skills and leadership abilities that are tailored individually to each employee; We also provide partial compensation for employees participating in external training and conferences; In tourism, it's difficult to grow without an excellent knowledge of English, and we support our employees' language learning goals — we organize group and individual lessons, plus speaking clubs with colleagues from all over the world; And, of course, to encourage you to travel more, we offer corporate prices on hotels and other travel services; We prioritize well-being and are committed to supporting the overall health and work-life balance at ETG.
As part of this commitment, we provide MyTime Day Off - an extra day off that is designed to give our employees the flexibility to focus on important matters, whether it’s taking care of their health, mental recharge, addressing personal issues, or any other important activities.
Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.
notion.site/recruitment-privacy-notice 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 to support).
Excellent understanding of classical ML: feature engineering, boosting, classification/regression, cross-validation, threshold selection, calibration.
Experience with DL (PyTorch/TensorFlow): understanding of fine-tuning principles and model inference.
Python (production-grade): readable code, tests for critical components, understanding of model/artifact packaging and service integration.
Understanding of ML monitoring: quality metrics, drift, alerts, diagnostics, and support procedures.
SQL proficiency sufficient for independent dataset building (joins, window functions).
Experience with model interpretability and error analysis.
MLflow / W&B / DVC or similar experiment tracking tools.
Orchestration/pipelines (Airflow/Prefect/Dagster) and advanced data processing.
Conversational English.
This job post has been translated by AI and may contain minor differences or errors.
