Top Data & Analytics Jobs

The Advanced Data Science Associate will develop advanced algorithms to solve high-dimensional problems, apply statistical techniques to analyze data trends, and collaborate with stakeholders to enhance ZS's analytical platforms.

The Senior Identity & Access Management Analyst is responsible for maintaining and integrating Privileged Access Management tools, creating Active Directory solutions, troubleshooting Active Directory issues, automating maintenance tasks using Powershell and Python, and managing various Active Directory capabilities. Additionally, the role involves mentoring junior colleagues and ensuring compliance with change management procedures.

The role involves driving growth in Clinical Technology by managing client accounts, selling and delivering bespoke technology solutions for pharmaceutical and biotech companies. Responsibilities include developing client relationships, generating new business engagements, and creating solutions relevant to clients' needs.

Develop advanced and efficient statistically effective algorithms, collaborate with clients, assess emerging datasets and technologies, contribute to thought leadership, provide mentorship, and more in the field of Advanced Data Science Consulting at ZS.

Develop and apply advanced statistical models, leverage analytics techniques, design custom analyses, synthesize and communicate results, provide project status updates, mentor Associates, and improve problem-solving skills. Requires Bachelor's or Master's degree in quantitative discipline, up to 3 years of post-collegiate experience, fluency in English, programming knowledge, proficiency in analytic tools, good work ethic, and strong communication and interpersonal skills.

Develop and apply advanced statistical models, leverage analytic techniques, design custom analyses, synthesize and communicate results, create project deliverables, and mentor team members. Bachelor's or master's degree required with up to 3 years of relevant experience. Proficiency in R, Java, Python, and other tools/platforms.

Develop advanced and efficient statistically effective algorithms, utilize technical skills for data mining and analysis, collaborate with clients, and assess emerging datasets and technologies.