Scientifique de données

Job summary

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.

Job details

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.

What you’ll do

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.

Requirements

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.

Benefits

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

Listed skills

• Data analysis · Preferred
• Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• 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

Job areas

• Data & Analytics
• Technology
• Science & Research

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