What You'll Do
- Execute and lead the application of numerical optimization techniques on large, unstructured datasets 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 the 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 the 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
- Bachelor's 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.
