We are looking for a creative and experienced Data Scientist to join our team and help us tackle data analytics challenges. The ideal candidate will be responsible for collecting, cleaning, and interpreting large volumes of data from various sources, creating solutions to overcome analytical challenges, and communicating with stakeholders.
responsibilities :
Conducting meetings with team members regarding projects
Collecting and interpreting data
Automating and integrating processes
Researching solutions to overcome data analytics challenges
Developing complex mathematical models that integrate business rules and requirements
Creating machine learning models
Communicating and meeting with engineers, IT teams, and other stakeholders
Conveying complex ideas in an understandable manner to non-technical stakeholders, both verbally and visually
requirements-expected :
Proficiency in SQL and Python, along with data analyst skills
Experience with data visualization tools
Proficiency in writing algorithms and knowing when to apply them
Excellent understanding of statistics, calculus, and linear algebra
Advanced coursework in Machine Learning and programming
Strong analytical and problem-solving abilities, with a keen eye for identifying data trends and opportunities
Ability to work in a team, openness to feedback, and collaboration with the Client
Fluency in Polish due to communication with the Client and English at B2/C1 level, as youll be a part of multinational team
If you are curious, creative, and tech-savvy, and want to develop your skills in a dynamic environment, we invite you to apply!
offered :
Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern Wrocław office with work from home. Ask your recruiter about the details
Early support thanks to Buddy Programs: learn in the flow of work alongside our experts who collaborate on top-tier solutions for global enterprises, including 145 Fortune 500 companies
Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform
Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings
benefits :
sharing the costs of sports activities
private medical care
life insurance
no dress code
parking space for employees
extra social benefits
redeployment package
employee referral program
charity initiatives
access to courses e.g. Excel, VBA, RPA, Customer Care
