ETG
Senior Data Scientist (Availability)
RemoteRomania, Kazakhstan, Philippines +2 more only
- Role
- Data Science
- Experience
- Senior
Salary not disclosed
Check eligibility
Open to RO, KZ, PH, AM, GR only. Set where you work from to check your eligibility.
No BS summary
Senior Data Scientist or ML Engineer with 4+ years of hands-on ML experience. Must have strong Python, SQL, PySpark, classic ML, entity matching, RecSys/ranking, and production ML skills. Hiring remotely from Romania, Kazakhstan, Philippines, Armenia, or Greece.
Core skills
Machine LearningPySparkRecommendation Systems
Required skills
CatBoostLightGBMClassificationRegressionKNNFAISSLearning-to-RankSQLPythonAirflowPython microservices
Optional skills
NLPText embeddingsDynamic pricingMulti-objective optimizationNext Best Action
Senior Data Scientist (Availability)
- Engineering
- Romania
- Remote
- ETG
Available locations:
- Romania
- Kazakhstan
- Philippines
- Armenia
- Greece
Who we need
- End-to-End ML Ownership: Lead ML projects from formulating hypotheses and task setting to delivering measurable business impact. You will be responsible for the entire cycle, ensuring fast time-to-market and maintaining model quality in production.
- Cross-functional Collaboration: Work closely with Data Engineers to build robust production data pipelines, and with Data Analysts to dive into business context, define metrics, and design/evaluate A/B tests.
- Domain-Specific Problem Solving: Translate business goals into mathematical models. You will solve core domain challenges, such as: Rate Matching (deduplication of rates from 350+ suppliers), Alternative Search (RecSys & Ranking for unavailable rates), Multi-objective Optimization (balancing margin maximization with incident minimization), and Cache Freshness Prediction (predicting the likelihood of a rate changing before booking).
- Model Development: Develop, train, and validate machine learning models to test product hypotheses and proactively improve the B2B user experience.
Key qualifications
Must Have:
- Experience: At least 4+ years of hands-on experience as a Data Scientist or ML Engineer.
- Business Mindset: Ability to dig into data, identify root business problems, and translate business objectives into clear ML tasks rather than just tuning metrics in a vacuum.
- ML Stack & Algorithms: Solid knowledge of classic Machine Learning (Gradient Boosting like CatBoost/LightGBM, Classification, Regression).
- Matching, RecSys & Ranking: Proven experience with entity matching tasks, and a deep understanding of Recommendation Systems and Ranking approaches (KNN, FAISS, Learning-to-Rank, pointwise / pairwise / listwise approaches).
- Big Data Stack: Confident experience working with massive datasets (we process terabytes daily). Excellent SQL skills and practical experience building pipelines with PySpark.
- Engineering Independence: Production-quality Python code, ability to write tests, and readiness to bring models to production (experience with Airflow and Python microservices).
Nice to Have:
- Industry Experience: Experience in TravelTech, E-commerce, or B2B APIs (understanding of hotels, rates, distributors).
- NLP & Embeddings: Basic NLP skills, understanding the principles of text embeddings and how to train them (highly useful for matching textual rate descriptions, room types, and cancellation policies).
- Optimization & Pricing: Experience with dynamic pricing, multi-objective optimization, or Next Best Action (NBA) systems.
- Math & Stats: A solid foundation in probability theory and mathematical statistics for rigorous experiment design and model evaluation.
We offer you
- 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.
Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience. Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone.
More about our company and mission
Read
What you'll do
- Lead ML projects from formulating hypotheses and task setting to delivering measurable business impact.
- Own the full ML project cycle, ensuring fast time-to-market and maintaining model quality in production.
- Work with Data Engineers to build robust production data pipelines.
- Work with Data Analysts to dive into business context, define metrics, and design and evaluate A/B tests.
- Translate business goals into mathematical models.
- Solve rate matching problems, including deduplication of rates from 350+ suppliers.
- Solve alternative search problems using RecSys and ranking for unavailable rates.
- Work on multi-objective optimization balancing margin maximization with incident minimization.
- Work on cache freshness prediction to predict the likelihood of a rate changing before booking.
- Develop, train, and validate machine learning models to test product hypotheses and proactively improve the B2B user experience.
What they require
- At least 4+ years of hands-on experience as a Data Scientist or ML Engineer.
- Ability to dig into data, identify root business problems, and translate business objectives into clear ML tasks rather than just tuning metrics in a vacuum.
- Solid knowledge of classic Machine Learning, including Gradient Boosting like CatBoost/LightGBM, Classification, and Regression.
- Proven experience with entity matching tasks.
- Deep understanding of Recommendation Systems and Ranking approaches, including KNN, FAISS, Learning-to-Rank, and pointwise, pairwise, and listwise approaches.
- Confident experience working with massive datasets; the company processes terabytes daily.
- Excellent SQL skills.
- Practical experience building pipelines with PySpark.
- Ability to write production-quality Python code.
- Ability to write tests.
- Readiness to bring models to production.
- Experience with Airflow and Python microservices.
- Preferred: Experience in TravelTech, E-commerce, or B2B APIs, including understanding of hotels, rates, and distributors.
- Preferred: Basic NLP skills and understanding the principles of text embeddings and how to train them.
- Preferred: Experience with dynamic pricing, multi-objective optimization, or Next Best Action systems.
- Preferred: Solid foundation in probability theory and mathematical statistics for rigorous experiment design and model evaluation.
Benefits
- Fully flexible work schedule with no pressure to start exactly at 9:00 AM.
- Choice of preferred work format: fully remote, office, or hybrid.
- Ambitious and supportive team.
- Internal programs for adaptation and training.
- Individually tailored development of soft skills and leadership abilities.
- Partial compensation for external training and conferences.
- Company-supported English learning through group and individual lessons and speaking clubs.
- Corporate prices on hotels and other travel services.
- MyTime Day Off, an extra day off for health, mental recharge, personal issues, or other important activities.
- Extra non-working day without loss of compensation.
Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. It develops online booking platforms for individual tourists, travel agents, and companies organizing business trips, and is known for RateHawk, ZenHotels, and RoundTrip.
Details
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Salary not disclosed