ZS

An experience with ZS means you’ll be encouraged to bring fresh thinking and co-create with industry-leading clients from day one. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and that’s why here your ideas elevate actions, and here you’ll have the freedom to pursue cutting-edge work and define your own path. Work side-by-side with like-minded people who rise in care of humanity’s greatest challenges to define what’s next. Join us and find a path where your passion can change lives. ZS is a management consulting and technology firm that partners with companies to improve 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. Founded in 1983, ZS has more than 13,000 employees in over 35 offices worldwide.

https://www.zs.com/

Job description

What you’ll do:

Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems 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 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:

Bachelors degree in computer science, Information Technology, or a related field (or equivalent work experience).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 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;
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.
Fluency in English
Client-first mentality
Intense work ethic
Collaborative spirit and problem-solving approach