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As a Decision Analytics Consultant, you will leverage your quantitative skills and advanced data analytics to address client business questions, develop data-driven solutions, and communicate findings effectively. You'll work collaboratively with clients to understand their needs and analyze relevant data to support their goals.
As a Strategy & Transformation Consultant, you will work on projects that drive strategic choices and execution across clients in the biopharma and MedTech landscape. Responsibilities include problem-solving, project management, qualitative/quantitative analysis, and presenting client deliverables in a clear manner.
As a Data Science Associate Consultant, you will design and execute advanced analytic solutions using big data to enhance client decision-making. Your responsibilities include developing deep learning models, collaborating with multidisciplinary teams, and implementing scalable solutions while ensuring effective communication of analytical findings.
As a Data Science Associate Consultant at ZS, you will design and implement advanced analytics solutions, focus on deep learning models, collaborate with teams for deployment in production, and contribute to research projects in AI and machine learning, while optimizing algorithms for performance and scalability.
As a Data Science Associate Consultant, you will design, develop, and execute analytics solutions for large data sets. This includes implementing advanced deep learning models, collaborating with teams to deploy machine learning models, and contributing to research projects to advance AI methodologies.
The Advanced Data Science Associate will develop advanced algorithms, apply statistical methods for analysis, collaborate with clients to communicate findings, and assess new datasets and technologies in analytics. The role involves utilizing machine learning and data mining techniques to solve complex problems.
As a Strategy Insights & Planning Consultant, you'll define project scope, lead execution, conduct analyses, develop recommendations, and coach junior team members, working collaboratively on multiple client projects in the healthcare sector.
The Strategy Insights & Planning Consultant will collaborate with project leadership to define project scope, lead project execution, conduct analysis, and develop recommendations for clients. They will also coach junior team members, participate in business development, and contribute to internal firm activities.
As an Associate Consultant, you will support project teams in developing strategic solutions for clients in the biopharma and MedTech sectors. Your role involves problem-solving, project management, conducting analyses, and communicating findings to clients. You will also contribute to internal firm activities and mentor junior team members.
As a Business Technology Solutions Associate - Cloud Data Engineer at ZS, you will collaborate with internal and client teams to create technology solutions addressing business challenges. Your duties include analyzing business problems, designing technical features, supporting the implementation phase, and applying development methodologies for project completion.
Lead the development of ML-based enterprise products, architect AI-enabled data solutions, and manage a team of scientists and engineers to solve complex problems. Engage with senior clients and shape firm strategies in AI, while fostering talent through recruitment and training efforts.
As a Data Science Manager at ZS, you will lead the development of ML-based enterprise products, architect AI data products, solve complex problems with a hybrid team of scientists and engineers, and engage with clients to deliver transformative solutions. You will also contribute to recruiting and training talent, and shape firm strategy around AI.
Lead the development of innovative ML-based enterprise products and architect AI-enabled data products. Manage a hybrid team while overseeing complex cross-functional problems and engaging with senior client leaders. Focus on applying advanced algorithms for business solutions and fostering talent within the organization.
The Data Science Manager will lead the development of innovative ML-based enterprise products, architect AI-enabled data products, and engage with senior leaders to deliver transformative solutions. Responsibilities include managing a hybrid team, conducting research on AI algorithms, and shaping strategies in AI across various sectors.
The Data Science Manager will lead the development of ML-based products, architect AI data solutions, oversee research and product design, engage with clients, publish industry thought leadership, and mentor talent. Responsibilities include managing complex analytics and data science challenges, deploying AI solutions, and driving firm strategy in new AI practices.
As a Data Science Manager at ZS Discovery, you will lead the development lifecycle of ML-based products, architect AI-enabled solutions, research advanced algorithms, and engage with clients to deliver transformative results. You will also guide a hybrid team and contribute to company strategy in AI.
As a Data Science Manager at ZS, you will lead the development of ML-based enterprise products, drive AI solutions, engage with clients, and contribute to strategy and thought leadership. You will work with hybrid teams to solve complex business problems and deploy AI solutions into production.
As a Data Science Manager at ZS, you will lead the development of ML-based enterprise products, architect AI-enabled data solutions, and engage with clients on transformative initiatives. You will manage a team of scientists and engineers, drive innovative product strategies, and shape the firm’s practices in AI while publishing thought leadership in the industry.
As a Data Science Manager at ZS, you will lead the development and implementation of innovative AI-based products, drive complex problem-solving initiatives, and engage with clients to deliver transformative solutions. You will also oversee a hybrid team of scientists and engineers, contribute to talent development, and publish thought leadership.
Lead the development of innovative ML-based products, architect AI-enabled data products, and manage a hybrid team of scientists and engineers. Engage with clients to deliver impactful solutions and shape strategic initiatives in AI while fostering talent through recruitment and training.
