Informacje o stanowisku

technologies-expected :

• SQL
• Python

• Drive business strategic decisions by translating large and complex datasets into clear, actionable insights.
• Develop & implement predictive models across a variety of problems, including regression, classification, NLP and machine vision, using a variety of machine learning models e.g. ensemble methods, neural nets and transformers.
• Take ownership of data science projects from conception to deployment and create new tools to support the business need to drive value from the data.
• Utilize statistical analysis techniques to analyse process variability, identify patterns, trends, anomalies and root causes of defects, and implement corrective actions.
• Develop data visualizations, dashboards, and reports to communicate insights and recommendations to stakeholders at all levels of the organization.
• Working in an agile manner, constantly seeking the most efficient methods to deliver against business objectives, delivering rapid insights and proof of concepts to teams.
• Highly proficient in spoken and written English.

• Bachelors degree in Data Science, Computer Science, Software Engineering / Information Technology or a related discipline.
• 3-5 years of experience working as a Data Scientist; proven practical experience with analysing large, complex data sets to obtain clear, actionable insights.
• Strong understanding of different statistical methods and machine learning algorithms, including most popular model architectures and frameworks.
• Hands-on experience with development and practical application of machine learning methods for regression, classification, NLP and machine vision.
• Proficiency in use of SQL, Python and Python IDEs (Anaconda, VS Code, Jupyter or similar) for analytics and data science, on large, complex, highly dimensional datasets.
• Hands-on experience with data visualization tools and frameworks, e.g. Matplotlib, Seaborn, PowerBI or similar.
• Familiarity with using cloud computing platforms, e.g. AWS, GCP or Azure, for analytics & data science.
• Excellent communication, presentation and influencing skills, capable of carrying projects through to completion.

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• life insurance
• corporate gym
• corporate sports team
• doctor’s duty hours in the office
• corporate library
• no dress code
• coffee / tea
• parking space for employees
• extra social benefits
• sharing the costs of tickets to the movies, theater
• holiday funds
• sharing the costs of holidays for kids
• baby layette

Bydgoszcz - Oferty pracy w okolicznych lokalizacjach