Data Science Expert for Emerging Markets

hace 5 días


Madrid, Madrid, España Celonis Se A tiempo completo

Company Overview
Celonis SE is a leading enterprise software company that enables businesses to make data-driven decisions and optimize their processes. Our innovative platform uses artificial intelligence to analyze complex business data, identify areas of improvement, and provide actionable insights.

Salary
The estimated salary for this role is €60,000 - €80,000 per annum, depending on experience and qualifications. This compensation package reflects the high demand for skilled professionals in the field of data science and the importance of attracting top talent to Celonis SE.

Job Description
We are seeking an experienced Data Scientist to join our team in Madrid. As a key member of our Value Engineering team, you will be responsible for analyzing customer data, identifying trends and patterns, and developing predictive models to drive business growth. Your expertise in data analysis, machine learning, and statistical modeling will help us better understand our customers' needs and develop targeted solutions to meet their requirements.

Required Skills and Qualifications
To be successful in this role, you will need:

  • A bachelor's or master's degree in a quantitative field such as computer science, mathematics, statistics, or engineering.
  • At least 3 years of experience in data science, with a proven track record of delivering high-quality results under tight deadlines.
  • Advanced knowledge of programming languages such as Python, R, or SQL.
  • Familiarity with machine learning algorithms and statistical modeling techniques.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Benefits
Celonis SE offers a comprehensive benefits package, including:

  • A competitive salary and bonus structure.
  • A range of health insurance options, including medical, dental, and vision coverage.
  • A generous retirement savings plan, including employer matching contributions.
  • A flexible work environment, with opportunities for remote work and flexible hours.
  • Ongoing professional development and training opportunities, to help you stay up-to-date with the latest industry trends and technologies.

Others
We are an equal opportunities employer and welcome applications from diverse candidates. If you are passionate about data science and want to be part of a dynamic and growing organization, please submit your application today.



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