Senior Data Scientist @ Boneffice System

2 months ago


Remote, Czech Republic Boneffice System Full time
  • Advanced degree in Computer Science, Data Science, Power Engineering, or a related field.
  • 3+ years of experience in data science with expertise in machine learning or deep learning.
  • Proficient in Python and familiar with data science tools and libraries such as sklearn, keras, pytorch and others.
  • Experience in projects dedicated for industry, especially connected with implementation of virtual twins and predictive maintenance
  • Solid understanding of data analysis, data wrangling, and preprocessing techniques using pandas and numpy.
  • In-depth knowledge of power engineering principles and applications is a big plus
  • Excellent problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
  • Proficiency in English (B2+/C1 level), with strong verbal and written communication skills.
  • Ability to work independently in a fully remote environment, with a high level of discipline.

Desirable Additional Skills

  • Familiarity with CI/CD pipelines and containerization technologies (Docker).
  • Jira
  • Git
  • No SQL
  • Ability to mentor junior team members.


Position Overview

Position Overview
As a Senior Data Scientist, you will be at the forefront of developing and implementing machine learning and deep learning models to solve complex challenges in the energy sector. This role requires a blend of technical expertise, creativity, and a deep understanding of data analysis to improve operational efficiency, predict trends, and drive strategic decision-making.

What We Offer

  • The opportunity to work remotely with a flexible schedule.
  • Competitive salary
  • A dynamic and supportive work environment with a focus on personal and professional growth.
  • The chance to work on projects that have a real-world impact on energy sustainability and efficiency.
  • Access to the latest tools, technologies, and training to help you succeed.
,[Design, develop, and deploy machine learning and deep learning models using Python (mainly time series models), with libraries such as sklearn, keras, and pytorch., Lead data analysis, wrangling, and preprocessing activities to prepare datasets for modeling., Apply your knowledge of power engineering to develop solutions that address specific challenges in the energy sector., Collaborate with cross-functional teams to understand business needs, formulate data-driven strategies, and communicate insights effectively., Stay abreast of the latest advancements in AI, machine learning.] Requirements: Python, Deep learning, Data science, Power Engieering, Data visualization, scikit-learn, Data analysis, Keras, NumPy, pandas, Git, CD pipelines, Docker, SQL Additionally: Remote work.

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