Data Science Manager - Supply Chain & Manufacturing

ZS; Princeton (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

Join a forward-thinking consulting firm focused on transforming lives through technology. In this role, you will lead the development of innovative AI and ML-based products that address complex business challenges. Collaborate with a team of experts to design and implement cutting-edge solutions that drive significant impact for clients. Your leadership will shape the firm's strategy in AI, while your passion for learning and personal initiative will foster a culture of excellence and innovation. This is an exciting opportunity to make a difference in a dynamic environment that values diversity and inclusion.

Qualifications

• 9-14 years of experience in AI/ML product development.
• Deep knowledge of advanced algorithms and deployment of AI solutions.

Responsibilities

• Lead end-to-end development of ML-based enterprise products.
• Architect and implement AI-enabled data products.

Skills

Machine Learning

Artificial Intelligence

Natural Language Processing

Deep Learning

Data Analysis

Programming in Python

Cloud Technologies

Big Data

Education

BE/B.Tech from Tier-1 Institute

Masters or PhD in Computer Science

Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here, you'll work side-by-side with a 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 engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact at ZS.

Our most valuable asset is our people.

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 part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to help our ZSers cultivate community spaces, obtain resources, and share messages they are passionate about.

What You’ll Do

1. Lead end-to-end development lifecycle of innovative ML-based enterprise products for complex business problems.
2. Architect and implement AI-enabled data products.
3. Lead team efforts in research, conceptualization, and design for new product lines.
4. Research and assess state-of-the-art AI algorithms for natural language understanding, personalized assisting tools, etc.
5. Own, drive, and solve complex, cross-functional problems that extend beyond traditional boundaries of product domains, analytics, and data science.
6. Lead hybrid teams of scientists and engineers to create AI solutions.
7. Engage with senior client leaders to deliver value through transformative solutions.
8. Partner effectively with global ZS colleagues.
9. Publish thought leadership pieces and present at industry conferences.
10. Foster ZS talent through recruiting and training contributions.
11. Shape ZS firm strategy in newer areas including AI.

What You’ll Bring

1. 9–14 years’ experience in building AI/ML-based products.
2. BE/B.Tech from a Tier-1 institute is required.
3. Masters or PhD from a premier institute in Computer Science or related fields is highly preferred.
4. Deep knowledge of advanced algorithms such as deep learning, NLP, recommenders, etc.
5. Experience applying ML algorithms to complex business problems.
6. Knowledge of Big Data, cloud, distributed computing, and related technologies.
7. Experience deploying large-scale AI solutions into production beyond POCs.
8. Ability to translate unique business problems into analytical solutions.
9. Fast research, experimentation, and iteration skills for practical solutions.
10. Proficiency in open-source programming environments like Python.
11. Domain knowledge in industries such as travel, hospitality, retail, asset management, or high-tech is highly preferred.

In Addition

• Desire to make a business impact for clients.
• Leadership experience.
• Personal initiative and strong work ethic.
• Self-motivation and attention to detail.
• Strong organization and planning skills.
• Excellent communication skills, especially in data-driven storytelling.