Senior Data Scientist

Adaptiq
Summary
Join Adaptiq as a Senior Data Scientist and play a pivotal role in enhancing 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 demands a strong foundation in analytical thinking, extensive experience with Python and machine learning, and a proven track record in data mining and statistical analysis. The ideal candidate will possess a Master's or PhD in a relevant field and at least 5 years of professional experience in end-to-end machine learning. Adaptiq offers a fully remote work model, 20 days of vacation leave, full accounting and legal support, a competitive compensation package, and yearly performance reviews.
Requirements
- A Masterβs 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