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Senior Data Scientist

Canvider Sp. Z.o.o

Warsaw, Poland Fully Remote

Job Description

Senior Data Scientist

Location: Warsaw, Poland (Fully Remote)

Work Schedule: Full-Time

About the Role

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. This fully remote position based in Warsaw, Poland offers an exciting opportunity to leverage your expertise in machine learning, deep learning, and big data technologies to drive data-driven decision making and innovation.

Key Responsibilities

  • Develop, implement, and optimize machine learning and deep learning models to solve complex business problems.
  • Analyze large datasets using statistical methods and big data technologies to extract actionable insights.
  • Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
  • Create compelling data visualizations to communicate findings effectively to stakeholders.
  • Write efficient, maintainable code in Python and R for data analysis and model development.
  • Design and maintain robust data pipelines and perform advanced SQL queries to support data needs.
  • Mentor junior data scientists and contribute to best practices in data science methodologies.

Required Skills and Qualifications

  • Proven experience in machine learning and deep learning techniques.
  • Strong programming skills in Python and R.
  • Expertise in data visualization tools and techniques.
  • Experience with big data technologies and handling large datasets.
  • Advanced knowledge of statistical analysis and modeling.
  • Proficiency in SQL for data extraction and manipulation.
  • Excellent problem-solving skills and ability to work independently in a remote environment.

Salary

The salary range for this position is 18,000 to 28,000 PLN per month, commensurate with experience and qualifications.

Why Join Us?

Join a forward-thinking company that values innovation, collaboration, and professional growth. Work remotely from Warsaw while contributing to impactful projects that shape the future of data science.