Quest Software
Cybersecurity • Data Management • SaaS
Quest Software is a technology company that specializes in developing and managing software solutions for IT operations, data management, and cybersecurity. They provide a range of products aimed at helping organizations modernize their IT infrastructure, secure their data, and ensure seamless operations whether in the cloud or on-premises. Quest's offerings include endpoint management, identity protection, disaster recovery, and database management tools, empowering businesses to enhance their IT resilience and optimize data utilization in an increasingly digital world.
1001 - 5000 employees
🔒 Cybersecurity
☁️ SaaS
Senior Data Engineer
October 21
Quest Software
Cybersecurity • Data Management • SaaS
Quest Software is a technology company that specializes in developing and managing software solutions for IT operations, data management, and cybersecurity. They provide a range of products aimed at helping organizations modernize their IT infrastructure, secure their data, and ensure seamless operations whether in the cloud or on-premises. Quest's offerings include endpoint management, identity protection, disaster recovery, and database management tools, empowering businesses to enhance their IT resilience and optimize data utilization in an increasingly digital world.
1001 - 5000 employees
🔒 Cybersecurity
☁️ SaaS
📋 Description
• Lead end-to-end data science projects from research to production implementation • Establish data science best practices, methodologies, and standards for the team • Research and implement advanced machine learning techniques and emerging AI technologies • Drive strategic data science initiatives that impact multiple product lines • Mentor junior and mid-level data scientists and collaborate on cross-functional AI projects • Present research findings and strategic recommendations to senior leadership
🎯 Requirements
• Master's/PhD in Computer Science, Statistics, Mathematics, or related field (or equivalent experience) • 8+ years of data science experience with leadership in complex ML projects • Expert-level proficiency in Python, advanced ML frameworks, and statistical modeling • Proven experience with Azure ML, big data technologies, and production model deployment • Strong research background with the ability to translate business problems into data science solutions.
🏖️ Benefits
• Competitive pay, annual bonuses, and top-performer recognition. • Comprehensive health, family, and retirement benefits. • Flexible work options, generous PTO, and wellness programs. • Professional growth through learning platforms, mentorship, and leadership programs. • Inclusive teams that reflect the world we serve, supported by Employee Resource Groups and our Equality & Inclusion Council.
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