Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Supports consulting project teams by researching markets, developing analyses, applying problem-solving frameworks, synthesizing insights, communicating findings, and collaborating with clients to implement solutions. The intern owns assigned deliverables and may support change initiatives and client decision-making. Strong performance may lead to a full-time offer.

Develop advanced statistical models and custom analyses using R, Tableau, SAS, Visual Basic, and Excel to address client business challenges. Apply data-driven decision-making, synthesize findings, present recommendations, build client relationships, provide project updates, create deliverables, implement solutions, and mentor associates. The role requires collaboration, strong communication, quantitative problem-solving, and client-facing consulting work.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Develop advanced algorithms and apply statistical, data mining, machine learning, and AI techniques to large structured and unstructured datasets. Identify trends, evaluate emerging data technologies, and communicate analytical findings to clients and ZS stakeholders. The role requires collaboration across multiple projects, strong quantitative and research skills, and proficiency with Python, SQL, Pandas, and PySpark. Client-facing work may require travel.

Supports strategic data platform partnerships with Databricks, Snowflake, Dataiku, and similar technology providers. Responsibilities include partnership governance, partner-influenced pipeline management, reporting and dashboards, joint account coordination, issue resolution, process improvement, documentation, and partner marketing campaigns. The role requires cross-functional collaboration, CRM proficiency, strong communication, organization, and the ability to manage multiple priorities in a client-facing consulting environment.

Lead and support primary and secondary market research for biopharmaceutical clients, analyze customer and market data, develop actionable strategic recommendations, manage client relationships, coordinate global project teams, present findings, and support project planning, risk management, and junior team development.

Lead and support Salesforce CRM transformation projects for pharma, healthcare, and life sciences clients. Responsibilities include requirements gathering, solution design, Salesforce implementation and customization, solution architecture, stakeholder communication, technical-team collaboration, and management of project timelines, budgets, and deliverables. Provide expertise across Salesforce Health Cloud, Marketing Cloud, Sales Cloud, and Service Cloud while translating technical solutions for nontechnical stakeholders.

Responsibilities include executing data-driven strategies in life sciences, leading evidence generation projects, managing client relationships, and developing high-performing teams.

This role leads digital transformation initiatives in content management and marketing technology, focusing on AI-based innovations and collaboration with clients in life sciences.

Drive and grow the ZS–Google Cloud alliance: manage governance and KPIs, build co-sell pipeline and joint GTM offerings, lead account alignment and enablement, run joint marketing and partner certification efforts, and execute strategic partner plans to expand revenue and market impact.