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Natobotics

Data Scientist

Natobotics
Germany · Contract · Entry
Possibility of remote work: Hybrid, WFO 10 days per month

Contract duration: 6 months

Location: Frankfurt, Germany

JOB DETAILS

Role Title: Data Scientist

Minimum years of experience: 8 years

Requirements

  • Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline
  • Minimum of 5 years of experience in a data science role, with a focus on building and deploying models in production
  • Proven expertise in multivariate time series modeling as a must-have skill, and demonstrated knowledge in other branches of machine learning, including supervised and unsupervised learning
  • Advanced skills in feature engineering and selection
  • Proficiency in Python and SQL for data analysis and modeling
  • Strong understanding of machine learning algorithms and statistical modeling techniques
  • Experience with AWS cloud services, particularly Redshift for data storage and analysis, and SageMaker for model deployment
  • Excellent communication and leadership skills with the ability to effectively lead and mentor a team
  • Strong problem-solving and critical thinking abilities with a keen attention to detail
  • Proven track record of successfully leading and delivering data science projects within a fast-paced environment is a must
  • Proactive mindset and strong coding skills

Nice-to-Have

  • Experience with big data technologies and frameworks (e.g., Hadoop, Spark)
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Knowledge of data visualization tools and techniques for communicating insights to non-technical stakeholders

Key Skills

Ranked by relevance

machine learning data visualization deep learning data analysis tensorflow big data storage python hadoop cloud sql aws
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Country Guide

Germany

Strong tech sector & EU Blue Card visa

Posted
Jul 14, 2025
Type
Contract
Level
Entry
Location
Frankfurt
Company
Natobotics

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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