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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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Working Student Data Scientist

ebsgrowth
Found 1 month ago
Location
Cluj-Napoca, Romania
Time
Not disclosed
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • PySpark
  • SQL
  • Large Language Models
  • Cloud Computing
  • Azure
  • Mongo
  • Docker
  • Pandas
  • Numpy
  • Seaborn
  • Git
  • Bitbucket
  • Data mining
  • Statistical Analysis
  • Data Visualization
  • Machine Learning
  • Artificial Intelligence
  • Data preprocessing

Soft Skills

  • communication skills

Job Description

We are looking for university students that are interested in gaining experience in Data Science.This role is having a start date during the year and is outside of the Summer practice program. As a Working Student in the Data Science group, you will work with us on creating data-driven products and service development for mobility area. Smart services for mobility are also provided in the context of creating high performance teams working together with an internationally distributed team, in a hybrid working model. Become part of our team and join us in creating state of the art data products. As a member of our team you take part in topics such as: * Develop and apply statistical, data mining, machine learning and AI algorithms; * Create data products and services for use cases from different domains of Mobility Area where you will use various data types from images, sensor data, unstructured text to solve real life problems; * Work with a large variety of data sources: from databases, log files to sensor event streams or images; * Develop and maintain the data science solution libraries, data visualizations and analytics results; * Have active participation and responsibility in each phase of the CRISP-DM cycle.

Requirements

  • Python, PySpark, SQL
  • Large Language Models, Cloud Computing, Azure, Mongo, SQL, Docker, Pandas, Numpy, Seaborn, etc.
  • Git, Bitbucket
  • Data mining and Statistical Analysis, Data Visualization, Machine Learning, Artificial Intelligence, Data preprocessing
  • genuinely curious to solve real life problems, understand capabilities of new technologies, create useful digital products and services
  • Excellent communication skills in English, both spoken and written are mandatory.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Large Language Models
  • Cloud Computing
  • Azure
  • Mongo
  • SQL
  • Docker
  • Pandas
  • Numpy
  • Seaborn
▶Apply Now

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