ZS

Advanced Data Science Associate Consultant - Generative AI and Machine Learning

SOUTH SAN FRANCISCO, CAPosted a month ago

Job summary

  • Job post source

    This job is directly from ZS

  • Job overview

    The Advanced Data Science Associate Consultant at ZS focuses on designing and deploying Generative AI and machine learning solutions to solve complex business problems and drive impactful AI innovations within the company.

  • Responsibilities and impact

    The role involves designing, building, and deploying advanced ML and GenAI models, developing multi-agent systems, fine-tuning LLMs, leading research and implementation of novel AI techniques, managing end-to-end data science projects, collaborating with cross-functional teams, monitoring deployed models, and mentoring junior team members.

  • Compensation and benefits

    ZS offers a comprehensive total rewards package including health and well-being benefits, financial planning, annual leave, personal growth and professional development programs, flexible work arrangements combining remote and on-site work, and travel opportunities for client engagement and professional growth.

  • Experience and skills

    Candidates should have a PhD or a master's with 3-5 years of relevant experience, expertise in Generative AI application development including fine-tuning and prompt engineering, proficiency in Python and data science libraries, experience with deep learning frameworks, prior leadership experience, and familiarity with multi-agent systems, cloud platforms, and AI/ML deployment techniques.

  • Career development

    ZS provides robust skills development programs, multiple career progression options, internal mobility paths, and a collaborative culture that supports individual and global team growth.

  • Work environment and culture

    ZS values diversity, equity, and inclusion, fostering a culture that honors individual identities and personal experiences, with a flexible and connected work environment that balances remote and face-to-face interactions to promote innovation and community.

  • Company information

    ZS is a management consulting and technology firm focused on improving life through innovative solutions for patients, caregivers, and consumers worldwide, partnering with clients to deliver custom solutions and technology products that create value across critical business areas.

  • Team overview

    The candidate will join ZS's Insights & Analytics group, a dynamic team working on multiple projects using advanced data analytics and problem-solving techniques to deliver impactful AI solutions.

  • Job location and travel

    The role involves a flexible work arrangement with a combination of remote work and on-site presence at client or ZS offices, with travel required to meet client needs and support business priorities.

  • Unique job features

    This role is distinguished by its focus on cutting-edge Generative AI technologies, including multi-agent systems, advanced prompt engineering, and deployment of sophisticated AI workflows, offering a hands-on opportunity to innovate in AI within a consulting context.

Company overview

ZS is a global professional services firm specializing in consulting, software, and technology, primarily serving clients in the healthcare and life sciences industries. Founded in 1983 by Andris Zoltners and Prabhakant Sinha, the company leverages data-driven strategies to help businesses improve their performance and make informed decisions. ZS generates revenue through consulting services, software solutions, and technology platforms that enhance sales and marketing effectiveness. Notably, ZS is known for its collaborative culture and innovative approaches to solving complex business challenges.

How to land this job

  • Position your resume to highlight your expertise in designing, building, and deploying Generative AI and advanced machine learning models, emphasizing hands-on experience with fine-tuning, prompt engineering, and multi-agent systems like LangGraph.

  • Emphasize your proficiency in Python, deep learning frameworks such as PyTorch or TensorFlow, and experience with cloud AI/ML services (AWS, GCP, Azure) to align with the technical demands of the role.

  • Apply through multiple channels including ZS's corporate careers site and LinkedIn to maximize your chances of being noticed by recruiters and hiring managers.

  • Connect with current ZS employees in the Insights & Analytics division on LinkedIn; start conversations by referencing recent AI initiatives at ZS or asking about their experiences working on multi-agent AI systems to create engaging ice breakers.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'Generative AI,' 'multi-agent systems,' 'prompt engineering,' 'RAG pipelines,' 'Python,' and 'model deployment' to ensure your resume passes initial automated screenings.

  • Utilize Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your energy on preparing for interviews and networking effectively.

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