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Hello World! Find your dream IT job ­čĹęÔÇŹ­čĺ╗

Used Technologies and Requirements

Must have
  • Python / R (2 year EXP)
  • Statistics (3 year EXP)
  • SQL
  • Data Science
Other tasks

Work Conditions

Job type:Full Time Job
Contract Type:Employment / B2B
Work hours:8h per day / 40h a week
Preferred Office hours:08:00 - 18:00
Contract duration:Permanent
Possibility of remote work:
Partial remote work
Delegation involved:0
Skargi 6A,
Katowice, Poland

About Project

Start date:ASAP
Project Industry:Ecommerce
office desk

The kind of stuff youÔÇÖll be doing: Design and develop program methods, processes, and systems to consolidate and analyze structured/unstructured, diverse ÔÇťbig dataÔÇŁ sources to generate actionable insights. Interact with product and business teams to identify questions and issues and translate it into data science problems Develop and code software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identify meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, business managers and customer service operations lead. Apply state of the art machine learning/ deep learning techniques Able to work highly independently and manage multiple priorities in an agile fast paced environment


A1 A2 B1 B2 C1 C2 Native

Other requirements

Strong analytical background, at least a BS, and preferably an MS or PhD, degree in computer science, statistics or related quantitative field, with an emphasis on data mining, statistics, machine learning, algorithms or similar field. Understanding of applied math topics such as probability and statistics, linear algebra, basic optimization techniques, etc. 4+ years work experience as a data scientist or a related role Expert in Python/R with experience in machine learning related packages Expert in SQL with experience in data warehouse technologies like Teradata Experience/willingness to learn big data technologies like Hadoop and Hive Experience using a wide range of analytical techniques: both supervised and unsupervised Experience in deploying machine learning models into production, using and writing APIs Ability to communicate DL/


Corporate training
Training budget
Private healthcare
Private healthcare for family
Integration events
Sport subscriptions
Game console
Relax room
Appreciation bonus
Shopping vouchers
Good coffee
Free fruits
Free drinks
Free snacks

Data Scientist