Senior Data Scientist – Look-2-Book

Emerging Travel Group

. Lead machine learning projects from hypothesis formulation and task setting through measurable business impact .

Posted 9/24/2026full-timeRemote • Portugal, Kazakhstan, Montenegro, Cyprus, Georgia, ThailandSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading machine learning projects, optimizing models for production, and translating complex business problems into actionable ML tasks. Proficient in building and deploying scalable data pipelines and machine learning models to enhance B2B user experiences.

Highest-signal resume keywords

Machine Learning Project LeadershipGradient Boosting (CatBoost/LightGBM)SQL ProficiencyProduction-Quality Python CodeData Pipeline Development (PySpark)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningGradient BoostingClassificationRegressionEntity MatchingRecommendation SystemsDynamic PricingMulti-Objective OptimizationProbability TheoryMathematical Statistics

Soft Skills

Problem IdentificationCollaboration

Tools & Technologies

PySparkAirflowPython Microservices

Industry Keywords

TravelTechE-commerceB2B APIs

Tech Stack

Tools & technologies

AirflowMicroservicesPySparkPythonSQL

About the role

Key responsibilities & impact

Lead machine learning projects from hypothesis formulation and task setting through measurable business impact
Own the end-to-end ML cycle, ensuring fast time-to-market and maintaining model quality in production
Collaborate with Data Engineers on production data pipelines
Collaborate with Data Analysts to understand business context, define metrics, and design and evaluate A/B tests
Translate complex travel and B2B business problems into mathematical and machine learning modeling tasks
Design and deploy scoring models predicting the probability of search queries converting into bookings
Model how conversion likelihood changes dynamically with price and availability
Optimize the search-to-book funnel
Optimize margin/profitability and minimize operational incidents while factoring in B2B client preferences
Predict the likelihood of rates/offers becoming stale before booking to balance data accuracy, speed, and system load
Develop, train, and validate machine learning models to test product hypotheses and improve the B2B user experience

Requirements

What you’ll need

At least 4+ years of hands-on experience as a Data Scientist or ML Engineer
Ability to identify root business problems and translate business objectives into clear ML tasks
Solid knowledge of classic Machine Learning, including Gradient Boosting such as 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
Experience working with massive datasets; the company processes terabytes daily
Excellent SQL skills
Practical experience building pipelines with PySpark
Production-quality Python code
Ability to write tests
Readiness to bring models to production
Experience with Airflow and Python microservices
Experience in TravelTech, E-commerce, or B2B APIs (nice to have)
Basic NLP skills and understanding of text embeddings and how to train them (nice to have)
Experience with dynamic pricing, multi-objective optimization, or Next Best Action systems (nice to have)
Foundation in probability theory and mathematical statistics (nice to have)

Benefits

Comp & perks

A fully flexible work schedule
Choice of fully remote, office, or hybrid work format
Internal adaptation and training programs
Individual development of soft skills and leadership abilities
Partial compensation for external training and conferences
Group and individual English lessons
Speaking clubs with colleagues from all over the world
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