Career Track

How to become a Data Scientist with 252000 ₽ salary

Step-by-step growth plan from Junior to Middle. ROI: NaN months.

FINANCIAL STRATEGY 2026

We've created an investment plan for your growth with NaN mo payback.

Target Income
252 000
+112 000growth
ROI
NaN mo
By: Invalid Date
After date — pure profit
Investment
185 850
Just 3 steps
Net Profit (3Y)
3 846 150
After payback

⚠️ Cost of Waiting

If you start now, salary will increase by не число ₽ in 18 months.

Delay 6 mo
Delay 1 year

Salary Growth Forecast

Comparison: with course vs without course

Current
не число
In 18 months
не число

Alternatives Comparison

Comparison of recommended course "Разработчик + ИИ" with alternative options

BEST CHOICE

This Course

Разработчик + ИИ

  • Structured learning
  • Quick results
  • Payback: NaN mo
Growth in 18 months
+не число

Self-Learning

  • Time × 2
  • No structure
  • Save money
Time loss
12 mo
HIGH RISK

Don't Learn

  • Current salary stays
  • No growth
  • Lost opportunity
Lost opportunity/year
-112 000

Recommended Courses

High ROI courses for your quick start

Top course:Разработчик + ИИ
BEST ROI CHOICE
3 500+job openings on the market

Market Gap: The shortage of Middle-level talent in Data Scientist has reached critical mass. Capitalize on it.

Market Analysis

The Data Scientist sector is outperforming the general IT market index. With a year-over-year growth rate of 35%, we are witnessing a structural shift in compensation. It is a candidate's market. Hiring freezes do not apply to this specific stack. Analysts predict this trend to persist through Q4 2026.

Salary Justification

The target compensation of 252 000 represents a 112 000 monthly surplus over your current baseline. This premium is paid not for 'years of experience', but for the ability to solve complex business problems using Python.

Skill Value

Python

A fundamental requirement for the Middle grade. Mastery of Python signals professional maturity and production-readiness.

Java

A fundamental requirement for the Middle grade. Mastery of Java signals professional maturity and production-readiness.

Frontend

A fundamental requirement for the Middle grade. Mastery of Frontend signals professional maturity and production-readiness.

QA Testing

A fundamental requirement for the Middle grade. Mastery of QA Testing signals professional maturity and production-readiness.

Data Science

Data is the new oil, but refining it is where the value lies. Business intelligence capabilities drive executive strategy.

Cybersecurity Basics

A fundamental requirement for the Middle grade. Mastery of Cybersecurity Basics signals professional maturity and production-readiness.

AI (нейросети)

The highest multiplier in 2026. AI integration is no longer optional; it's an operational necessity for enterprise survival.