ZS

ZS

Bellevue, WA
13,000 Total Employees
90 Local Employees
Year Founded: 1983
Jobs at ZS

Search the 9 jobs at ZS

Recently posted jobs

4 Days Ago
Seattle
Hybrid
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
ZS is seeking a Regional Manager - Sales with a diverse background and track record of achievement selling into Enterprise organizations. The individual will be responsible for building, hunting, and creating viable clients through various verticals, resulting in sales and revenue generation for a new groundbreaking venture. Responsibilities include identifying, qualifying, closing, and growing partnerships with customers through internal leads, cold calling, and other channels, articulating differentiators and outcomes to clients, finding and motivating customers to engage, managing customer relationships, organizing and leading meetings and events, and traveling to target territories and industry trade shows to present capabilities.
6 Days Ago
Seattle
Hybrid
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The Technology Principal role at ZS involves growing capabilities in the Business Technology group, developing and managing client relationships, and generating new business engagements. The ideal candidate will be a techno-functional relationship manager with experience in hunting, farming, scaling, and delivering.
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Develop and apply advanced statistical models, leverage analytic techniques, design custom analyses, synthesize and communicate results, create project deliverables, and advance problem-solving skills. Required: Bachelor's or master's degree in quantitative/analytic discipline, 2-4 years of relevant experience, knowledge of Azure, PowerBI, and Microsoft tech stack, strong communication skills, empathy, adaptability, attention to detail, and ability to work in teams.
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The Data Science Manager at ZS Discovery will shape and grow AI capabilities in pharmaceutical discovery, work closely with clients, lead a team of data scientists, develop AI offerings, and present results at industry conferences.
8 Days Ago
Seattle
Hybrid
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The Senior Lead - Customer Success role at ZS's Beyond Healthcare Analytics team involves owning the end-to-end delivery on aligned objectives with clients, building required storyboards with insights/impact summary, and translating client requirements to data science and engineering teams. Responsibilities include developing and implementing advanced algorithms, leveraging tools like PySpark, Python, and SQL.
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Senior role at ZS focusing on Content Transformation through innovative approaches and marketing transformation in the Digital Customer Experience Practice. Responsible for leading large Digital Transformation programs, developing strategic relationships with clients, and driving business growth in Digital COEs and Marketing organizations.
13 Days Ago
Seattle
Hybrid
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Looking for a Director of Product Management to develop the roadmap of AI Products in commercial, personalization, consumer, and NLP. Must have proven experience in client & business interactions and building strong product teams.
13 Days Ago
Seattle
Hybrid
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets and technologies, contribute to thought leadership, possess strong communication and problem-solving skills.
13 Days Ago
Seattle
Hybrid
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, writing production-ready code, collaborating with teams, and staying updated on the latest technologies.