Pricing ML Specialist
- Казахстан
- Контрактная работа
- Полная занятость
- We do not believe in micromanagement, hierarchy, time tracking, useless work, or excessive processes.
- We do believe in proper planning, responsibility, commitments, 360-degree feedback, and constant self-evolution.
- Our team is a team of people who love data and who can make it worthwhile for anyone.
- We are genuinely open to new ideas. Anyone can share one, and ultimately, this idea can be game-changing for the company, so your voice really matters.
- Open and friendly environment for anyone. Be yourself and have fun!
-Create and maintnain pricing system for multimodal online travel agency;
-Be the focal point for the pricing system (Data+ML).RequirementsTech Skills:
-Strong knowledge of Python Experience with machine learning algorithms;
-Proficiency in SQL for complex queries and aggregations;
-Strong grasp of statistics & probability (hypothesis testing, confidence intervals, distributions);
-Understanding of model evaluation and validation techniques;
-Experience working with large-scale structured data;
-Ability to write clean, maintainable, and production-ready code;
-Hands-on experience with pricing alogrythms development and validation in E-Commerce Built, validated, and deployed ML models in real-world environments;
-Experience with A/B testing or experimentation frameworks.Soft Skills:
-Strong problem-solving and critical-thinking skills;
-Ability to translate complex technical work into clear insights for business stakeholders;
-Strong communication and collaboration skills, comfortable working in cross-functional teams.Nice to Have:
-Experience in travel, or marketplace platforms;
-Knowledge of deep learning frameworks (TensorFlow, PyTorch);
-Knowledge of cloud platforms (AWS, GCP, Azure) and ML pipelines (SageMaker, MLflow, Airflow);
-Experience with ClickHouse or other high-performance analytical databases;
-Contribution to open-source projects or strong Kaggle/competition track record;
-Experience with big data tools (Spark, Databricks, or equivalent).Benefits-Engaging work on a product that enables millions of travelers to book their trips daily;
-Full-time remote working - 5 days week, 8 hours per day;
-Development opportunities (budget for self-paced learning, global training workshops, online English language classes, e-learning platforms);
-Internal growth and internal mobility opportunities;
-Competitive annual leave, sick leave, and public holidays;
-Annual company offsite in Thailand.What should I do to dive into 12Go company culture?
Apply! Update your CV and get ready to experience the best interview flow with our top talents.We can’t wait to see you and share this awesome adventure together!