Job description
Senior Data Scientist (Python)
Who we are:
Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.
About the Product:
Our client is a leading SaaS company offering pricing optimization solutions for e-commerce businesses. Its advanced technology utilizes big data, machine learning, and AI to assist customers in optimizing their pricing strategies and maximizing their profits.
About the Role:
As a Data Scientist, you’ll play a critical role in shaping and enhancing our AI-driven pricing platform.
Key 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.
Required Competence and Skills:
- 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.
Nice-to-Haves:
- 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.
Why Us?
- 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.
