Job
Description
As a Data Science Consultant at ZS, you will have the opportunity to design, develop, and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets to help clients make better fact-based decisions. You will work on applying numerical optimization techniques on large, unstructured data sets, collaborate with engineering teams to deploy optimization-based solutions, and play a key role in developing data science capabilities for solving problems. Your role will involve leading conversations with clients and stakeholders, evaluating emerging datasets and technologies, and contributing to thought leadership through research and publications. Additionally, you will guide and manage project teams of Associates/Associate Consultants. **Key Responsibilities:** - 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 - Lead development of data science capabilities for solving problems and offerings - Evaluate emerging datasets and technologies, define the analytic platform, and develop select assets/accelerators - Contribute to thought leadership through research and publications - Guide and manage project teams of Associates/Associate Consultants **Qualifications Required:** - Bachelors degree in computer science, Information Technology, or a related field - 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 data science concepts and algorithms - Proficiency in programming languages such as Python/R - Understanding of relevant tools/platforms in ML/data engineering - Team management and skill development experience - Agile project planning and project management experience - Excellent oral and written communication skills - Strong attention to detail and research-focused mindset - Excellent critical thinking and problem-solving skills - High motivation, good work ethic, and maturity ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. The company provides skills development programs, career progression options, internal mobility paths, and a collaborative culture to empower you as an individual and a global team member. ZS encourages a flexible and connected way of working, allowing a combination of work from home and on-site presence at clients/ZS offices. Face-to-face connections are valued for fostering ZS culture and innovation. Travel is a requirement for client-facing roles at ZS, with opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. ZS is committed to building a diverse team that reflects a broad variety of backgrounds, perspectives, and experiences. The company values inclusion and belonging efforts, supporting ZSers in cultivating community spaces and obtaining resources for personal and professional growth. ZS is an equal opportunity employer, providing equal employment and advancement opportunities without regard to any class protected by applicable law. Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts, is required to be considered. As a Data Science Consultant at ZS, you will have the opportunity to design, develop, and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets to help clients make better fact-based decisions. You will work on applying numerical optimization techniques on large, unstructured data sets, collaborate with engineering teams to deploy optimization-based solutions, and play a key role in developing data science capabilities for solving problems. Your role will involve leading conversations with clients and stakeholders, evaluating emerging datasets and technologies, and contributing to thought leadership through research and publications. Additionally, you will guide and manage project teams of Associates/Associate Consultants. **Key Responsibilities:** - 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 - Lead development of data science capabilities for solving problems and offerings - Evaluate emerging datasets and technologies, define the analytic platform, and develop select assets/accelerators - Contribute to thought leadership through research and publications - Guide and manage project teams of Associates/Associate Consultants **Qualifications Required:** - Bac
