Senior Data Scientist

Summary

Join Adaptiq, a technology hub supporting R&D teams, as a Senior Data Scientist to enhance an AI-driven pricing platform for a leading SaaS e-commerce company. 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 requires a Master's or PhD in a related field, 5+ years of experience in the ML lifecycle and Python development, and expertise in data mining and statistical analysis. The ideal candidate will also possess knowledge of SQL, MLOps, and microeconomic principles. Adaptiq offers 20 vacation days, full accounting and legal support, a fully remote work model, 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

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