Scientifique de données

Résumé du poste

The selected candidate will conduct scientific literature reviews and synthesize findings, as well as collect, clean, and integrate large volumes of data. They will also develop and evaluate machine learning models and contribute to various analytical tasks.

Détails du poste

The selected candidate will conduct scientific literature reviews and synthesize findings, as well as collect, clean, and integrate large volumes of data. They will also develop and evaluate machine learning models and contribute to various analytical tasks. Candidates should have a bachelor's or master's degree in a relevant field and demonstrated experience in scientific literature review. They must also be eligible for a security clearance and have experience in areas like Graph Neutral Networks or Visual Analytics.

Ce que vous ferez

The selected candidate will conduct scientific literature reviews and synthesize findings, as well as collect, clean, and integrate large volumes of data. They will also develop and evaluate machine learning models and contribute to various analytical tasks.

Exigences

Candidates should have a bachelor's or master's degree in a relevant field and demonstrated experience in scientific literature review. They must also be eligible for a security clearance and have experience in areas like Graph Neutral Networks or Visual Analytics.

Avantages

• Vacation
• Flexible Hours
• Professional Development Allowance
• Tailored Training
• Retirement Savings Plan
• Collective Insurance
• Public Transport Reimbursement
• Referral Bonuses
• Holidays
• Personal Days
• Active Social Life

Compétences indiquées

• Analyse de données · Souhaitée
• Apprentissage automatique · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Analysis
• Artificial Intelligence
• Modeling
• Literature Review
• Data Cleaning
• Data Integration
• Machine Learning
• Graph Neutral Networks
• Visual Analytics
• Explainability
• Content Detection
• Stakeholder Presentation
• Research Collaboration

Domaines d’emploi

• Data & Analytics
• Technology
• Science & Research

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