Working Student Data Science

☞ Machine Learning Reply

Aussicht: 201

Update Tag: 22-10-2024

Ort: Munich Bavaria

Kategorie: Verwaltung / Büro / Assistent Beratung / Kundenservice Informationstechnologie Teilzeit

Industrie:

Jobtyp: Teilzeit

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Jobinhalt

At Machine Learning Reply Germany, we work with our clients on leading-edge data science projects for which we are seeking employees with a strong IT background.

Machine Learning Reply, with its sister company in Italy and over 10.000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science and the right organizational frameworks as their backbone. We offer tailor-made end-to-end solutions in the Data Science area that cover the entire project lifecycle - from initial strategy consulting to data architecture and infrastructure issues to data processing, modeling and visualization.

We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practices with our tech partners.


As a Data Science working student at Machine Learning Reply you are going to support our experts and consultants in various projects and domains in the space of data science.

Additionally, we offer you 20 working hours per week with the option to go full-time or set out a couple of weeks in accordance with your curriculum.


Start: asap

Length: Minimum 5-6 months, 20h/week


Depending on the respective project you are going to support our experts and consultants with the following engagements:

  • Identify and analyze problems in an analytical framework
  • Develop state of the art algorithms using the latest methods and technologies to solve business problems
  • Implement algorithms at scale and automate workflows
  • Use experience from different quantitative fields to solve problems
  • Benefit from our team, learning resources, hackathons and other sources to drive your technical development and have a presence in the machine learning community
  • Work across technology stacks (e.g. Spark, Azure, AWS, GCP, ELK, etc)


Qualifications:

  • You are a registered student of computer science, mathematics, physics, business administration (with additional technical or statistical background (or a comparable field of study)
  • You have experience with Python or R for data analysis
  • You have first experiences in industry/consulting experience in a data role
  • You have experience creating business value solutions or applications

  • You have first foundations in machine learning and statistics, ideally with expertise in at least one relevant area, e.g. NLP, recommender systems, time series analysis, computer vision, robotics
  • You are willing to learn and grow in a dynamic environment through hands-on experience
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Frist: 06-12-2024

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