Data Scientist

Summary

Join Adaptiq as a Senior Data Scientist and play a pivotal role in enhancing our client's AI-driven pricing platform. You will develop and optimize advanced ML models, lead end-to-end data science projects, and innovate with generative and predictive AI solutions. This role demands a Master's or PhD in a relevant field, at least 5 years of experience in the machine learning lifecycle and Python development, and strong analytical skills. Adaptiq offers a fully remote work model, 20 days of vacation leave, full accounting and legal support, and a competitive compensation package.

Requirements

• A Master’s or PhD in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking
• At least 5 years of professional experience in end-to-end machine learning lifecycle (design, development, deployment, and monitoring)
• At least 5 years of professional experience with Python development, including OOP, writing production-grade code, testing, and optimization
• At least 5 years of experience with data mining, statistical analysis, and effective data visualization techniques
• Deep familiarity with modern ML/DL methods and frameworks (e.g., PyTorch, XGBoost, scikit-learn, statsmodels)
• Strong analytical skills combined with practical experience interpreting model outputs to drive business decisions

Responsibilities

• Develop and Optimize Advanced ML Models: Build, improve, and deploy machine learning and statistical models for forecasting demand, analyzing price elasticities, and recommending optimal pricing strategies
• Lead End-to-End Data Science Projects: Own your projects fully, from conceptualization and experimentation through production deployment, monitoring, and iterative improvement
• Innovate with Generative and Predictive AI Solutions: Leverage state-of-the-art generative and predictive modeling techniques to automate complex pricing scenarios and adapt to rapidly changing market dynamics

Preferred Qualifications

• Practical knowledge of SQL and experience with large-scale data systems like Hadoop or Spark
• Familiarity with MLOps tools and practices (CI/CD, model monitoring, data version control)
• Experience in reinforcement learning and Monte-Carlo methods
• A solid grasp of microeconomic principles, including supply and demand dynamics, price elasticity, as well as econometrics
• Experience with cloud services and platforms, preferably AWS

Benefits

• 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in)
• Full accounting and legal support in all countries we operate
• A fully remote work model with a powerful workstation and co-working space in case you need it
• A highly competitive package with yearly performance and compensation reviews