Top Tech Jobs & Startup Jobs

Develop advanced statistical models and custom analyses to support client decision-making. Use R, Tableau, SAS, Visual Basic, and Excel to investigate business issues, synthesize findings, and present recommendations. Manage project deliverables, provide status updates, build client relationships, implement solutions, and mentor Associates. The role requires quantitative analytical expertise, strong communication, teamwork, and a client-focused approach.

Provide data advisory services to client teams, maintaining expertise in healthcare data, managing data partnerships, and supporting data strategy projects.

Lead ZAIDYN's AI Engineering function to design, build, and ship an enterprise-grade agentic AI platform. Own architecture, integrations (AWS Bedrock/AgentCore), LLMOps/eval frameworks, observability, governance, and team hiring/operations. Ensure production readiness, cost/latency controls, auditability, and cross-functional delivery with product and QA while representing the platform externally.

Lead large-scale cloud, data, and GenAI-driven transformation programs for High-Tech clients. Build senior client relationships, design cloud-native architectures (AWS/Azure/GCP), drive delivery excellence across onshore-offshore teams, and grow accounts by creating reusable solution accelerators and go-to-market strategies.

The Decision Analytics Consultant delivers projects in pharmaceutical CMC development, employing quantitative skills to analyze data and provide client solutions while managing teams and enhancing practice development.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Collaborate with internal and client teams to design and implement technology solutions. Translate business problems into technical designs, lead project modules and workstreams, support project delivery, mentor team members, and guide deliverables including requirements, prototypes, architecture, testing, deployment, and operations strategies. The role requires SQL, data warehousing, analytics, cloud, Python, and strong problem-solving skills.

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.

Provide quantitative analytics consulting to clients by defining business information needs, identifying appropriate data, executing analytical plans, evaluating results, and communicating actionable findings. The role requires collaboration with clients, expertise in advanced modeling and analytics tools, familiarity with client processes, and the ability to lead teams and advise senior decision-makers.

The Product Marketing Lead drives the narrative and adoption of the ZAIDYN Field Performance AI platform by crafting messaging, developing go-to-market strategies, and collaborating with cross-functional teams to enhance customer value and market presence.