Data Scientist

Talentor International
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

Data analysis
Image Analysis
ETL
Data Security
Python
Machine Learning
Pandas
Information Technology
Data Analytics
Data Pipelines

Job description

Manage, monitor, and troubleshoot existing data integration pipelines feeding AI models, ensuring high data quality, reliability, and availability.

  • Support AI Development Collaborate with R&D scientists to support training, validation, and optimization of machine learning and AI models.

  • Data Analysis & Reporting Perform in-depth data analysis to extract actionable insights, answer research questions, and communicate findings through structured reports and visualizations.

  • Troubleshoot & Problem-Solve Identify and resolve technical issues related to data access, software constraints, infrastructure, and model performance.

  • Ensure Project Continuity Work closely with the team to maintain timelines and deliverables throughout the contract period, ensuring uninterrupted R&D operations.

  • Documentation & Knowledge Transfer Maintain clear documentation of workflows, system modifications, and best practices to ensure transparency and continuity.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field
  • 3-5+ years of hands-on experience in data science or data analytics roles
  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn)
  • Solid experience with SQL and relational databases
  • Practical experience with ETL principles and data pipeline management
  • Foundational understanding of machine learning models and workflows
  • Experience with image analysis techniques
  • Familiarity with FAIR data principles
  • Excellent analytical and problem-solving skills
  • Ability to work independently in a small team environment
  • Strong communication and documentation skills

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