Top Software Engineer Jobs

As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.

As an Applied AI Scientist at ZS, you'll develop algorithms for large dimensional problems, apply statistical and data mining techniques on large datasets, evaluate new data technologies, and contribute to thought leadership through research. You'll work in a collaborative environment focused on transforming global healthcare.

As a Machine Learning Engineer at ZS, you'll develop and maintain ML models, implement MLOps, scale algorithms for large datasets, and collaborate with teams to ensure high-quality deliverables. Your responsibilities include building model pipelines, writing production-ready code, and exploring new technologies to innovate AI solutions.

As an Applied AI Scientist at ZS, you will develop advanced algorithms for high-dimensional problems, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership through research and publication.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for massive data sets, and enhance ML platforms. Your responsibilities include implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies.

As a Data Science Associate Consultant, you'll develop advanced algorithms, apply statistical techniques, and analyze data trends. You'll collaborate with clients, contribute to technology assessments, and mentor junior team members, driving impactful solutions and fostering innovation.

The Data Science Associate Consultant at ZS is responsible for designing, developing, and executing high-impact analytics solutions for complex data sets. Responsibilities include staying updated with the latest AI research, implementing advanced deep learning models, collaborating with cross-functional teams, contributing to research projects, developing algorithms, and integrating engineering principles into data science workflows.