[Hiring] Data Scientist @Emerging Travel Group

Role Description

Engage with the business objectives behind key tasks:

• Pricing for B2B/B2C
• Forecasting and optimization of financial and operational metrics
• Incident prioritization
• Improving customer journey efficiency (revenue growth, cost savings, business impact)

Drive ML projects end-to-end:

• From problem definition and formalization to modeling, piloting, and presenting results
• Collaborate with data engineers to collect necessary datasets and assess implementation feasibility
• Work with analysts on A/B test design: defining metrics, splits, and interpreting results
• Develop models (classic ML and DL, time series, uplift modeling), conduct error analysis and performance evaluation
• Prepare models and code for transfer to production infrastructure (deployment and releases handled by the technical team)
• Take ownership of model quality, monitor key metrics, and collaborate with the team on degradation issues and improvement plans

Qualifications

• 3+ years of experience as a Data Scientist
• Proven experience with end-to-end ML projects (ability to oversee the entire process)
• Strong knowledge of classical machine learning techniques (feature engineering, classification, regression, boosting, etc.)
• Hands-on experience with uplift modeling and time series tasks (with real business applications)
• Experience working with business stakeholders and understanding optimization problems: pricing, B2C, LTV, retention, AB testing, and more
• Proficient in Python for DS/ML (writing clean, readable code for models and experiments)
• Confident SQL user (able to build datasets, write joins, and perform data analysis)
• Nice to have: experience with MLflow/DVC, pipelines (Airflow or similar), anomaly detection/anti-fraud, deep learning (PyTorch/TensorFlow), and model monitoring

Benefits

• 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: fully remote, office, or 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, with internal programs available for adaptation and training, development of soft skills and leadership abilities tailored individually
• Partial compensation for employees participating in external training and conferences
• Support for employees' language learning goals — organizing group and individual lessons, plus speaking clubs with colleagues from all over the world
• Corporate prices on hotels and other travel services to encourage travel
• Commitment to overall health and work-life balance, providing MyTime Day Off - an extra day off for personal matters