Data Scientist

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Job Description

Job Summary

Our Client is a world leader in the field of computer-guided surgery and 3D dentistry, offering highly innovative products that allow dentists to simulate medical surgeries in 3D using the latest 3D and medical imaging technologies.

 

Job Description:

Responsibilities:

 

  • Analyze large and complex data sets to derive actionable insights and make data-driven recommendations.
  • Design and develop data warehouses, ensuring efficient and scalable data storage and retrieval.
  • Utilize your expertise in BigQuery to extract, transform, and load data from various sources.
  • Develop and maintain advanced algorithms and models using Python and machine learning techniques to solve business problems and optimize processes.
  • Collaborate with cross-functional teams to define data requirements and design data collection methods.
  • Create visually appealing and interactive dashboards using tools such as Tableau, Looker Studio.
  • Provide mentorship and guidance to junior data analysts, fostering their growth and development.
  • Stay up to date with the latest trends and advancements in data analytics, data modeling, visualization techniques, Python programming, and machine learning algorithms.
  • Communicate complex technical concepts, analytical insights, and machine learning results effectively to stakeholders.
  • Thrive in a fast-paced and multicultural environment, adapting quickly to changing priorities and deadlines.

 

Job Requirements:

Requirements:

 

  • 1-3 years of experience in data analysis, business intelligence analysis, or similar analytics roles.
  • Expertise in BigQuery and a strong understanding of data warehouse design principles.
  • Proficiency in visualization tools such as Tableau, Looker Studio.
  • Strong knowledge of best practices for data analytics, data modeling, Python programming, and machine learning.
  • Experience applying machine learning algorithms and techniques to real-world problems.
  • Demonstrated experience providing mentorship and guidance to junior data analysts.
  • Excellent English communication skills, both verbal and written.
  • Ability to work effectively in a fast-paced and multicultural environment.
  • At least an upper-intermediate level of English proficiency.