Independent company owned by Kaggle enthusiasts
Our team
Welcome to the world of tomorrow’s possibilities powered by Machine Learning.
We are LogicAI - Data Science and Machine Learning team.
Our world is about technology, software and hardware. But above all, it's about you, your ideas, your company and our future which belongs to those who dare to create it.
Let us be your guide and help you to discover step by step how captivating and simple the future can be.
All you need is to start following the path.
community
With our highly skilled team, „know-how”, and biggest data science community (Kaggle community) that we build in the world - we are a trustworthy and reliable partner in the process of implementation Machine Learning, AI and Data Science solutions.
What can we do for you?
Our founders
Maria Parysz
Data Scientist and Business Manager
Maria is an experienced innovation Manager, combining education and experience in Project Management, Technology and User Experience Design.
Prior to cofounding LogicAI, Maria founded and worked for technology startups and also served as a consultant for multinational companies. Maria is a passionate trainer and is also engaged in numerous voluntary activities supporting young entrepreneurs.
Paweł Jankiewicz
Chief Data Scientist & AI Engineer
Paweł is an experienced Data Scientist and applied Machine Learning engineer
He won 6 prizes in more than 20 international data mining competitions ($150 000 total prize winnings) organized by GE, American Express and Deloitte. Before co-founding LogicAI he worked in the banking industry (Citibank, Polbank) and then moved to Warsaw startups (Webinterpret, Growbots) where he gained experience managing teams.
Work and be yourself. Join our team
Work in an international environment on international projects!
We give you an ability to take part in a project during each of its phases - from launch to delivery
Here you will have an opportunity to realize short, absorbing and fun Data Science projects for Clients from all over the world. If you have a proactive attitude, like to work on problems from diverse fields and enjoy the process of change, apply here!
Our perks
Pizza meetings!
Internal trainings
Flexible working hours
Take a part in international contests
No dress
code
Work and be yourself. Join our team!
Requierments
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You finished at least a few, end-to-end machine learning projects, either in the industry, academia. Passion projects, done “after hours” are a plus.
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You have good knowledge of at least one imperative programming language, preferably Python, including knowledge of data science and machine learning libraries in that language
-
You have a thorough knowledge of common machine learning algorithms and know-how to assess their performance
-
You’re a git power-user
-
You have hands-on knowledge of algorithms and data structures
-
You’re able to translate raw concepts into data-driven, machine learning solutions
-
You can plan and lead a data science/machine learning project from end to end
Requirements
-
You finished at least a few, end-to-end machine learning projects, either in the industry, academia. Passion projects, done “after hours” are a plus.
-
You have good knowledge of at least one imperative programming language, preferably Python, including knowledge of data science and machine learning libraries in that language
-
You have a thorough knowledge of common machine learning algorithms and know-how to assess their performance
-
You’re a git power-user
-
You have hands-on knowledge of algorithms and data structures
-
You’re able to translate raw concepts into data-driven, machine learning solutions
-
You can plan and lead a data science/machine learning project from end to end
Requierments
-
You finished at least a few, end-to-end machine learning projects, either in the industry, academia. Passion projects, done “after hours” are a plus.
-
You have good knowledge of at least one imperative programming language, preferably Python, including knowledge of data science and machine learning libraries in that language
-
You have a thorough knowledge of common machine learning algorithms and know-how to assess their performance
-
You’re a git power-user
-
You have hands-on knowledge of algorithms and data structures
-
You’re able to translate raw concepts into data-driven, machine learning solutions
-
You can plan and lead a data science/machine learning project from end to end