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ZS

Advanced Data Science Consultant - (Optimization / Supply Chain and Manufacturing)

Posted 2 Days Ago
Be an Early Applicant
Hybrid
2 Locations
Senior level
Hybrid
2 Locations
Senior level
Design and execute high-impact analytics solutions for large, complex data sets in the area of Supply Chain and Manufacturing. Lead application of numerical optimization techniques and collaborate with engineering teams to deploy solutions effectively. Develop data science capabilities and contribute to thought leadership through research and publications.
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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 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 an d passion to drive life-changing impact to 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 assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.
DATA SCIENCE CONSULTANT (OPTIMIZATION / SC&M)
Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions.
What You'll Do: • Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems in the area of Supply Chain and Manufacturing.• Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner;• Play a key role in development of data science capabilities for solving problems in the pharmaceutical manufacturing, supply chain and operations management space and offerings that create scale and advance our analytic capabilities• Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings;• Evaluate emerging datasets and technologies and help define our analytic platform;• Own development of select assets/accelerators that create scale;• Contribute to thought leadership through research and publications;• Guide and manage project teams of Associates/Associate Consultants.
What You'll Bring: • MS/PhD degree in Computer Science, Statistics, Operations Research, or related fields, with a focus on Optimization, plus 2-4 years of relevant post-PhD work experience in implementing solutions in Manufacturing, Supply Chain, Operations Management areas• 6 - 9 years of relevant experience• Strong theoretical and applied understanding of linear programming, convex optimization, non linear programming, and other optimization topics• Experience with commercial solvers such as CPLEX, Gurobi, etc. preferred• Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.);• Relevant programming background (e.g. Python/ R);• Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms);• Team management and skill development experience;• Relevant domain knowledge preferred; (healthcare & life sciences / transportation/ hi-tech / insurance / retail);• Agile project planning and project management experience preferred;• Excellent oral and written communication skills;• Strong attention to detail, with a research-focused mindset;• Excellent critical thinking and problem-solving skills;• High motivation, good work ethic and maturity.
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're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.
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.
Find Out More At:
www.zs.com

Top Skills

Python
R
SQL

ZS Bengaluru, Karnataka, IND Office

ZS operationalized its first office in Bengaluru in 2018. Bengaluru is considered a leading tech hub of India, housing big-name technology firms and startups. Working in this office gives you the opportunity to work on data analytics, SaaS technology, and various other advanced technologies.

Engineering

Build a world-class technology infrastructure by establishing and maintaining an efficient working environment committed to delivering prompt and reliable solutions to all ZSers and our clients.

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