Data Scientist / ML Engineer (algorithms and optimization)

At Rubbles, we create Data Science products and develop analytical solutions for various industries.: demand forecasting systems for offline retailers, recommendation systems in banks, product search engines for online retailers, and more.

We are looking for senior-level or strong and promising middle-level specialists who are interested in solving complex applied tasks and seeing the result of their work in real business.

The team deals with the tasks of planning and optimizing the supply of goods in the context of forecasting demand in large retail. The work is related to the construction of algorithmic solutions that take into account many limitations, are used in production and directly affect the availability of goods on store shelves.

Basic requirements (education, skills)

• experience working with Python, including the standard data stack (pandas, numpy, etc.), as well as with PySpark
• Good mathematical training;
• Experience or a confident understanding of algorithmic and optimization problems;
• Willingness to immerse yourself in the business context and be responsible for the result;
• Proactive attitude and independence in work;
• The ability to discuss solutions with the team and business customers.

What you have to do

• Immersion in business processes and formalization of business tasks;
• Design and implementation of planning and optimization algorithms (stocks, supplies, replenishment, etc.);
• Formulation of objective functions and constraint systems, selection and implementation of suitable algorithms;
• Development and support of Python code used in production;
• Teamwork with analysts, developers, and product owners.

It will be a plus:

• Experience working with linear, integer, or mixed programming;
• Experience in solving optimization, planning, resource allocation, and logistics problems;
• Experience with machine learning (for developers).

What we offer (Social package, benefits)

• Working in one of the strongest ML teams. A strong team of DE/DS/DA and other specialists. There is an opportunity to constantly learn and learn from experience;
• Flexible work schedule;
• Flexible work format: full remote.