How much does a Data Scientist/Analytics, Senior make in Torun, PL? The average Data Scientist/Analytics, Senior salary in Torun, PL is zł119,408 as of April 16, 2021, but the range typically falls between zł99,706 and zł171,029. Salary ranges can vary widely depending on many important factors, including education, certifications, additional skills, the number of years you have spent in your profession. With more global market data that allows you to price your jobs around the world and compare job salaries across countries and cities on real-time compensation data, Salary.com helps you to determine your exact pay target.

Global Market Data
50TH(Median) zł119,408 25TH zł99,706 75TH zł171,029

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Skills to Boost a Data Scientist/Analytics, Senior Salary

Mastering key skills can significantly increase your earning potential as a Data Scientist/Analytics, Senior. According to Salary.com's Real-time Job Posting Data, expertise in Analysis can lead to a 11% salary raise, while strong Economics skills boost pay by a 1%. Even Deep Learning can result in a 1% salary increase.

Skill Library evaluates talent skills across five levels, supported by 5-10 behavior indicators, delivering precise insights for data-driven hiring decisions.
Analysis
Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Economics
Economics is a social science that focuses on the production, distribution, and consumption of goods and services, and analyzes the choices that individuals, businesses, governments, and nations make to allocate resources.
Deep Learning
Analyzing, developing, and applying big data and algorithms to imitate how humans think and learn.
More Skills...
Based on recent job listings, in-demand skills in the Data Scientist/Analytics, Senior field include Analysis (11%), Economics (1%), and Deep Learning (1%). These skills reflect current market needs.
Skills Salary Demand
Skill & Salary Demand
Analysis zł132,543
Analysis
zł132,543
11%
Economics zł120,603
Economics
zł120,603
1%
Deep Learning zł120,603
Deep Learning
zł120,603
1%
Analysis
6.83%
Economics
4.18%
Deep Learning
8.63%
Job Openings for Data Scientist/Analytics, Senior in Torun, Poland
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Toruń (UK: /ˈtɒrʊnjə/, US: /ˈtɔːruːn(jə), ˈtoʊruːn/, Polish: [ˈtɔruj̃] (listen); German: Thorn) is a historical city on the Vistula River in north-central Poland, and a UNESCO World Heritage Site. Its population was 201,447 as of December 2019. Previously, it was the capital of the Toruń Voivodeship (1975–1998) and the Pomeranian Voivodeship (1921–1945). Since 1999, Toruń has been a seat of the self-government of the Kuyavian-Pomeranian Voivodeship and, as such, is one of its two capitals, together with Bydgoszcz. The cities and neighboring counties form the Bydgoszcz–Toruń twin city metropoli...
Source: Wikipedia (as of 03/30/2021). Read more from Wikipedia
City, Country Compared to national average
City, Country Warsaw, PL Compared to national average
+ 5.7%
City, Country Katowice, PL Compared to national average
+ 3.0%
City, Country Bialystok, PL Compared to national average
-0.8%
City, Country Gdynia, PL Compared to national average
+ 1.7%
City, Country Czestochowa, PL Compared to national average
+ 0.8%
City, Country Radom, PL Compared to national average
+ 1.5%
Employees with Data Scientist/Analytics, Senior in their job title in Warsaw, PL earn an average of 5.7% more than the national average. The lower salaries can be found in Bialystok, PL (0.8% less).

Understand the base salary paid range for a Data Scientist/Analytics, Senior in Torun, PL

Average Base Salary

Core compensation

99706
171029
119408
The chart shows the base salary for Data Scientist/Analytics, Senior in Torun ranges from zł99,706 to zł171,029 with the average base salary of zł119,408. The basic salary is the employee minimum income you can expect to earn in exchange for your time or services. This is the amount earned before adding benefits, bonuses, or compensation. The base salary of the Data Scientist/Analytics, Senior may get paid difference by industry, location, and factors.