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QL: Sn Data Scientist (YB AS)

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.



Apply for this job

Adaptiq

Employment type

Full-Time

Region

Europe

Location

Ukraine

Salary range

Prefer not to share

Posted

7 hours ago

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