Job Description
Job description
- 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 (eg supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc);
Relevant programming background (eg Python/ R);
Understanding of relevant tools/platforms (eg 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.
Role: Data Science & Machine Learning - Other
Industry Type: Management Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate
PG: Any Postgraduate