JOB DETAILS
Junior Data Scientist
CompanySKF AI
LocationYoqneam Illit
Work ModeOn Site
PostedFebruary 8, 2026

About The Company
No description available for this Company.
About the Role
We are looking for a Junior Data Scientist with strong data analytics capabilities to join our AI Development Center in Yokneam. This role will initially focus on operational research tasks, supporting the development of AI solutions that impact hundreds of customers and internal service provider users.
You’ll work closely with Product Owners, senior data scientists, and domain experts to shape scalable AI-as-a-Service offerings for industrial machine health. This is a unique opportunity to apply analytical thinking to real-world challenges and grow within a dynamic, innovation-driven team.
Requirements
- Bachelor's degree in Data Science, Statistics, Industrial Engineering, Computer Science, or a related field with a strong emphasis on data analytics.
- Demonstrated experience or coursework in data analysis, statistical modeling, or operational research.
- Strong programming skills in Python, writing readable and efficient code, and familiarity with libraries such as Pandas, NumPy, Scikit-learn.
- Familiar with Machine Learning model lifecycle from data to solution.
- Ability to work in a collaborative, fast-paced environment.
Nice to Have:
- Knowledge of time-series analysis or signal processing.
- Experience with machinery sensor data
- Exposure to cloud platforms (AWS preferred).
- Familiarity with MLOps concepts and tools.
Key Skills
Data AnalyticsStatistical ModelingOperational ResearchPythonPandasNumPyScikit-learnMachine LearningTime-Series AnalysisSignal ProcessingCloud PlatformsAWSMLOps
Categories
Data & AnalyticsTechnologyEngineering
Job Information
📋Core Responsibilities
The Junior Data Scientist will focus on operational research tasks and support the development of AI solutions. They will collaborate with Product Owners, senior data scientists, and domain experts to create scalable AI-as-a-Service offerings.
📋Job Type
full time
📊Experience Level
0-2
💼Company Size
Not specified
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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