Advanced Data Science Consultant

Job Description

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.