What you will do:

• Develop a product matching model between platforms and suppliers.
• Build a demand elasticity model to forecast optimal prices.
• Detect fake discounts using ML algorithms (promo antifraud).
• Work with unstructured and multi-format data from different sources.
• Participate in product decisions, interact with analysts, managers, and technical teams.
• Present results and justify approaches to business stakeholders.

What is important:

• 2–2.5 years of experience as a DS / strong middle level.
• Excellent knowledge of machine learning and statistics.
• Confident SQL skills.
• Programming experience in Python (primarily for DS tasks).
• Strong product mindset: understanding business problems, ability to ask the right questions.
• Experience in pricing tasks — a plus.
• Ability to work with low-quality data, navigate chaotic sources, and extract insights under uncertainty.
• Communication skills: ability to explain complex things in simple terms and justify method choices.

What we offer:

• Opportunity to develop the DS direction within the team — you will be the only specialist, with room for initiative.
• Growth potential up to team lead.
• Work with real business challenges, not in a sandbox.
• Participation in product decision-making.
• Reviews twice a year (promotions possible from the 2nd year).

Selection stages:

• Short screening — 20–30 minutes with Head and lead.
• Technical interview — 1 hour: questions on ML, SQL, Python + product part.
• Final meeting — interview with Project Manager.

Vakansiya haqqında

• Vakansiya növü Tam ştat

İmtiyazlar

• Medical insurance
• Dəyərlisən” PASHA loyality proqramına üzvlük

Maraqlanan namizədlər Müraciət et düyməsində qeyd olunan linkə daxil olaraq müraciət edə bilərlər.