
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.
October 21

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.
• 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
• 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.
• 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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