CAREER Path

Data Science

Data Scientists turn raw data into valuable insights that organizations need in order to grow and compete. They interpret and analyze data from multiple sources to come up with imaginative solutions to problems. Data Scientists have a wide range of technical competencies, including statistics and machine learning, coding languages, databases, and reporting technologies.

Check out our career path and how your journey at ITMAGINATION will look like below!

s at ITMAGINATION lead the specific area in which they are responsible for and help with mentoring, skills assessment & training, shaping our team members' career paths, and more!
Learn more about your career at ITMAGINATION!
Junior
Regular
Senior
Expert

Junior Data Scientist

Salary Range: 
8000
 - 
14000
 PLN
+ Top Performers Bonus
+ Bonuses
Salary Range: 
1700
 - 
2900
 EUR
+ Top Performers Bonus
+ Bonuses
See how we calculate salaries.
Estimated Duration: 2 years
Data processing languages (e.g. Scala, Python, SQL, R)
Data Science packages (e.g. Pandas, sklearn)
Statistical methods
ML algorithms (forecasting, classification, unsupervised, assessment measures, selection of models for a business problem, boosting, random forest)
Language processing (NLP), image processing, forecasting

Requirements:

  • Solid basics in math, algorithms and one programming language
  • Occasional need for support in delivering technical tasks
  • Perspective to become a self driven specialist in no more than two years
  • Effectively looking up information to solve problems
  • Basic SQL scripts
  • Accepting tasks from data science manager such as ‘clean’, 'preprocess' or 'compare' data
  • Ability to create new features from existing data
  • Ability to create visualizations for model accuracy

‍

Nice-to-have:

  • Certificates such as Azure AI Fundamentals (AI-900)
  • Basic knowledge of cloud services (Azure, AWS, GCP)
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Data Scientist

Salary Range: 
11000
 - 
19000
 PLN
+ Top Performers Bonus
+ Bonuses
Salary Range: 
2300
 - 
4000
 EUR
+ Top Performers Bonus
+ Bonuses
See how we calculate salaries.
Estimated Duration: 3 years
Data processing languages (e.g. Scala, Python, SQL, R)
Data Science packages (e.g. Pandas, sklearn)
Statistical methods
ML algorithms (forecasting, classification, unsupervised, assessment measures, selection of models for a business problem, boosting, random forest)
Language processing (NLP), image processing, forecasting
Data cloud services for Data Science
Model deployment and production
Deep learning (reinforcement learning)

Requirements:

  • Knowledge and adherence to coding and exploratory tasks
  • Ability to conduct statistical reasoning (populations comparison for mean/std/frequency)
  • Ability to solve problems individually
  • Readiness to propose solutions for averagely complicated tasks
  • Advanced knowledge of at least one language (Python, R)
  • Knowledge of algorithms (forecasting, classification, unsupervised, assessment measures, selection of models for a business problem, boosting, random forest) and ability to choose proper one for specific problems
  • Understanding of data architecture and its implications
  • Knowledge of data science packages (i.e Pandas)

‍

Nice-to-have:

  • Experience with one of data cloud solution
  • Ability do deploy models in docker
  • Certificates such as AWS Certified Machine Learning - Specialty, Azure Data Scientist Associate (DP-100), Azure AI Engineer Associate (AI-102)
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Senior Data Scientist

Salary Range: 
19000
 - 
29000
 PLN
+ Top Performers Bonus
+ Bonuses
Salary Range: 
4000
 - 
6100
 EUR
+ Top Performers Bonus
+ Bonuses
See how we calculate salaries.
Estimated Duration: 3 years
Data processing languages (e.g. Scala, Python, SQL, R)
Data Science packages (e.g. Pandas, sklearn)
Statistical methods
ML algorithms (forecasting, classification, unsupervised, assessment measures, selection of models for a business problem, boosting, random forest)
Language processing (NLP), image processing, forecasting
Data cloud services for Data Science
Model deployment and production
Deep learning (reinforcement learning)

Requirements:

  • Expert knowledge in at least one field: NLP, image processing, deep learning, reinforcement learning, SparkML
  • Readiness to take responsibility for bigger chunks of large-scale projects or full responsibility over small projects
  • Willingness to help less experienced colleagues
  • Maturity and openness to different perspectives
  • Ability to verify candidates in the hiring process
  • Gather requirements from stakeholders, what is the problem, and why is data science a possible solution?
  • Work with product managers, other stakeholders, and develop your own tasks, roadmap, and process
  • Obtain data from APIs/SQL, preprocess data, feature engineer, model comparison, deploy model

‍

Nice-to-have:

  • Experience with cloud solutions
  • Experience in MLOps
  • Certificates such as AWS Certified Machine Learning - Specialty, Azure Data Scientist Associate (DP-100), Azure AI Engineer Associate (AI-102)
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Expert Data Scientist

Salary Range: 
25000
 - 
35000
 PLN
+ Top Performers Bonus
+ Bonuses
Salary Range: 
5300
 - 
7400
 EUR
+ Top Performers Bonus
+ Bonuses
See how we calculate salaries.
Estimated Duration:
Data processing languages (e.g. Scala, Python, SQL, R)
Data Science packages (e.g. Pandas, sklearn)
Statistical methods
ML algorithms (forecasting, classification, unsupervised, assessment measures, selection of models for a business problem, boosting, random forest)
Language processing (NLP), image processing, forecasting
Data cloud services for Data Science
Model deployment and production
Deep learning (reinforcement learning)

Requirements:

  • Experience defining and executing rules governing the project
  • Readiness to take full technical responsibility for the project
  • Ability to coach and mentor people
  • Ability to represent ITMAGINATION in discussions with client representatives
  • Structuring the technology recruitment verification process
  • Understanding of at least one extra technical competence
  • Ability to compare different data tools available on the market for dedicated solution (performance, cost etc.)

‍

Nice-to-have:

  • Pre-sales and Team-Lead experience
  • Experience with cloud solutions for Big Data and Data Science
  • Certificates such as AWS Certified Machine Learning - Specialty, Azure Data Scientist Associate (DP-100), Azure AI Engineer Associate (AI-102)
View All Open Jobs

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Assessments & Pay Scales

We're constantly and regularly evaluating our processes and each of our team members to make sure they're fairly remunerated. Check out the core elements of our evaluation process below.

Level Of Experience & Merit

Tools, skills, and certifications necessary for this position
Assessment done regularly and periodically to stay up to date

Contributions To The Team & Organization

Teamwork & willingness to help
Outstanding initiative-taking including knowledge seeking & helping others

English & Other Relevant Languages Proficiency

English is essential as our main comminucation language with clients
Other languages are helpful in roles like sales & recruitment

Versatility & Additional Knowledge

Knowledge of working with additional technologies than those in core stack
Ability to work in different and diverse work environments

Long Term Collaborative Approach To Work

Great relationship with clients & deep domain knowledge
In-depth understanding of the culture & best practices at ITMAGINATION
We're Agile and use Scrum

Flexibility & Oppenness To New Experiences

Ability to take on new challenges in unfamiliar fields
Openness to take on diverse projects and learn new technologies on the go
Check Out all our job Openings