ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

Data Science Manager - Supply Chain & Manufacturing

About Advanced Data Science (ADS): ZS's Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patientlevel records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches.

Data Science Managers (DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space.You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques.

What You'll Do:

Drive client engagements and lead end-to-end development & deployment of AI/ML/data science solutions as per client requirement.
Lead large scale client delivery engagements in AI projects for the Supply Chain & Manufacturing Industry

Architect and develop predictive models, optimization algorithms, and statistical analyses.
Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects.
Drive business and strategy development through project delivery and client relationship management
Develop/sell new business opportunities
Direct multiple projects simultaneously, honing analytic and project management skills
Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform
Motivate, coach and serve as a role model for project team members
Provide thought leadership and innovation through research and publication.

What You'll Bring:

PhD degree in Computer Science, Statistics or related discipline
8+ years of relevant post-collegiate work experience in lieu of a PhD, 10+ years of work experience may substitute.

Hands-on experience in applying advance analytics leveraging techniques of AI, ML to Supply Chain areas like Demand Planning, Forecasting, Supply Planning, Inventory Management, Logistics
Experience leading a team of data scientists, data engineers, domain experts, LLM engineers, DevOps across multiple projects

Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.)
Relevant programming background (e.g. Python/R)
Proven track record of business development
Agile project planning and project management experience
Team management and skill development experience
Relevant domain knowledge preferred (healthcare, pharma)
Excellent oral and written communication skills
Strong attention to detail, with a research-focused mindset
Excellent critical thinking and problem solving skills

Perks & Benefits:

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

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Data Science Manager - Supply Chain & Manufacturing

Data Science Manager - Supply Chain & Manufacturing

Data Science Manager

Manager, Data Science and Analytics