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Trainee Decision Scientist | Mu Sigma Off Campus Drive 2022 | Bangalore(Hybrid)

Mu Sigma

Types : Fresher
Salary ₹Not Disclosed
Job Description :

Vacancies & Eligibility Criteria:

Post Vacancy Age Qualification Pay
Trainee Decision Scientistn/aN/AB.E/B.Tech/B.Sc/BAas per norms
Dates to Consider:
Last date for Applying Online: ASAP

B.E/B.TechDetailed Eligibility:
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 a graduate of 7 CGPA and a minimum aggregate of 70% in classes 10th and 12th

Skills & Competencies:
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, and SAS/R will be beneficial
Ability to manage and multi-task under tight deadlines
Strong interpersonal and communication skills

Preferable Qualities
Ready to take ownership of multiple applications
Open to learning and taking on ownership of new opportunities

Role & 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, and 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 participate in discussions with team members

Apply Mode:

How To Apply:
Interested candidates with qualifications may apply online for concerned posts as per the given online application form.
Keeping a print copy for future use is advised.

Important Link
Apply Online Click Here
1 year ago
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