Mu Sigma Off Campus is hiring for the post of  Software Engineer. A student from various disciplines can apply for Mu Sigma off-campus recruitment drive 2023. Interested and eligible candidates can read more details below 

Mu Sigma Recruitment 2023:

Job Description:

Mu Sigma Company is seeking candidates for Software Engineer.

Job Responsibilities:

• Focus on high quality delivery and client relationships
• Collaborate with peers across the organization and solve customer problems
• Work with your team to solve complex problems. Use first principle thinking, coupled with basics of math and technology to arrive at a robust solution design, while collaborating with the others in the team
• Support projects in areas ranging from core data engineering, design architecture, cloud capabilities to mathematical model building, evaluation, and operational support
• Share ideas: We have an open work culture, and we encourage sharing of ideas and participating in discussions with team members

Eligibility Criteria:

• Any Graduate in
• B.E/B.Tech (any domain)
• BSc – Math’s, Computers, Biotech, Biomed, Statistics
• BA – Economics
• Year of Graduation – 2020 to 2022 with aggregate of 7 CGPA and a minimum aggregate of 70% in class 10th and 12th

Preferred skill:

• Good communication Skills and Verbal Skills
• Strong analytical/logical thinking skills and clarity of thought to identify and solve business problems
• Ability to learn complex businesses very quickly, define problems accurately while paying attention to detail in the solution
• Experience in Excel, VBA/Macros, SQL, SAS/R will be beneficial
• Ability to manage and multi-task under tight deadlines
• Strong interpersonal and communication skills

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About Mu Sigma:

Mu Sigma is one of the world’s largest Decision Sciences and Analytics firm. We help over 140+ Fortune 500 clients, across 10 industry verticals, to institutionalize data-driven decision making, and to harness Big Data. We have an ecosystem that helps us scale the use of our unique interdisciplinary approach of combining math, business, technology, behavioral science and design thinking to operationalize Decision Science as opposed to Data Science.