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Data Scientist/Machine Learning Engineer

TN Switzerland

Lausanne

Vor Ort

CHF 80’000 - 120’000

Vollzeit

Vor 26 Tagen

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Zusammenfassung

An innovative startup in Switzerland is seeking a Data Scientist/Machine Learning Engineer to join their dynamic team. This exciting role involves developing cutting-edge machine learning algorithms and collaborating closely with software engineers to enhance a big data analytics solution. The ideal candidate will have a strong background in machine learning, predictive analytics, and software engineering, with expertise in programming languages like Python and Scala. If you're passionate about solving large-scale machine learning challenges and enjoy working in a collaborative environment, this opportunity is perfect for you.

Qualifikationen

  • Hands-on experience in machine learning and predictive analytics.
  • Expertise in programming languages such as Python, Scala, and Java.

Aufgaben

  • Prototype and develop machine learning algorithms for time-series data.
  • Collaborate with software engineering to integrate models into the platform.

Kenntnisse

Machine Learning
Predictive Analytics
Software Engineering
Python
Scala
Java
R
Data Mining
Statistical Modeling
Communication Skills

Ausbildung

MSc in Computer Science
Ph.D. in Computer Science
MSc in Statistics
MSc in Mathematics

Tools

Elasticsearch
Spark
Hadoop

Jobbeschreibung

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Data Scientist/Machine Learning Engineer, Lausanne
Client:

Logmind

Location:
Job Category:

-

Job Reference:

109c65e25e4e

Job Views:

2

Posted:

17.04.2025

Expiry Date:

01.06.2025

Job Description:

We are a young and dynamic startup from Switzerland that has a mission to enable modern businesses to understand unstructured machine data in a smart and easy manner. We develop a big data analytics solution that provides extensive analytical capabilities and insights into machine-generated log data for the visibility into complex IT environments.

We are looking for an entrepreneurial, collaborative person with hands-on experience in machine learning, predictive analytics and software engineering.

Minimum Qualifications:
  • MSc or Ph.D. in computer science, statistics, mathematics or related fields
  • Relevant industry experience is a plus.
  • Expertise in modern analytics tools and programming languages such as Python, Scala, Java and/or R, Elasticsearch, Spark, Hadoop etc.
  • Expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, sequential pattern discovery, and text mining.
  • Motivated and passionate about large-scale machine learning problems, ability to think big and get things done.
  • Good communication skills - ability to explain complex technical issues to both technical and non-technical audiences.

Your responsibilities

  • Prototype, design and develop machine learning algorithms for time-series data.
  • Implement, test and optimize proposed machine learning models for large-scale environment.
  • Closely collaborate with the software engineering team to integrate proposed models with the main platform.
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