Who we are:

Adaptiq is a technology center specializing in building, expanding and supporting research and development teams for high -growth advanced products in a wide range of industries.

About the product:
Our customer is a leading company in Saas that provides price improvement solutions to e -commerce companies. Its advanced technology uses huge data, machine learning and Amnesty International to help customers improve their pricing strategies and increase their profits.

About the role:
As a data scientist, you will play an important role in forming and strengthening the pricing platform that moves AI-.

Main responsibilities:

• Development and improvement of advanced ML models: building, improving and publishing automated learning models and statistical forms to predict demand, analyze price flexibility, and recommend optimal pricing strategies.
• Provides data science projects from one to one party: possessing your entire projects, from visualization and experimentation by spreading production, monitoring and repetitive improvement.
• Innovation with obstetric and forensic intelligence solutions: take advantage of modern modeling and prediction techniques to automate complex pricing scenarios and adapt to fast market dynamics.

The required efficiency and skills:

• Master’s degree or doctorate in computer science, physics, applied mathematics, or a related field, which indicates a strong basis in analytical thinking.
• At least 5 years of professional experience in the life cycle of comprehensive machine learning (design, development, publishing and monitoring).
• At least 5 years of professional experience with the development of Bethon, including OOP, writing the degree of production degree, testing, and improvement.
• At least 5 years of experience in extracting data, statistical analysis, and effective data depicting techniques.
• Deep familiarity with modern ML/DL styles and frameworks (for example, pytorch, XGBOST, Scikit-Learn, Statsmodels).
• Strong analytical skills along with practical experience Interpretation of the model outputs to pay work decisions.

Cute to nonsense:

• Practical knowledge of SQL and experiment with wide database such as Hadoop or Spark.
• Introduction with MLOPS tools and practices (CI/CD, Monitoring forms, Data version control).
• Experience in learning reinforcement and Monte Carlo methods.
• A strong understanding of partial economic principles, including the dynamics of supply and demand, price elasticity, as well as the standard economy.
• Experience with cloud services and platforms, preferably AWS.

Why do we have?

We offer 20 days of leave leave for each evaluation year (in addition to the official national holidays of a country where it is stationed).

We provide full legal support and accountability in all the countries we run.

We use a fully distance business model with a strong workstation and a common work space if you need it.

We offer a very competitive package with annual performance and compensation reviews.