Mu Sigma Off Campus Drive 2022 | For Trainee – Data Science | Apply Now
Mu Sigma Off Campus Drive 2022 Hiring freshers forTrainee – Data Science Trainee BE/ B.Tech can apply for this position. The detailed eligibility and application process are given below.
Recruitment :
Company: Mu Sigma
Job Role: Trainee – Data Science
Qualification: BE/ B.Tech
Experience: Fresher
Batch: 2019/ 2020/ 2021/ 2022
Salary: 3.5 LPA
Job Location: Bengaluru
Last Date: 21 July 2022
Skills & Competencies:
Possess 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
Good to have experience in Excel, VBA/Macros, SQL, SAS/R
Competency and interest in Business Technology, both academically and
professionally, is preferred
Ability to extract and analyze data from multiple sources using analytical tools
Ability to manage and multi-task under tight deadlines
Strong interpersonal and communication skills
Demonstrated leadership within or outside a work setting. You should be someone
who frequently takes initiative and is eager to break new ground
Preferable Qualities
– Ready to take ownership of multiple applications
– Ready to stretch beyond normal hours during build and high support activity times
Qualification
Graduated B.E/B.Tech any domain in 2019 / 2020/2021/2022 with aggregate of 7 CGPA
A minimum aggregate of 70% in class 10th and 12th
Role & responsibilities:
Take actions to ensure healthy growth of the engagement with focus on high quality
delivery and client relationships
Collaborate with the client services team to assess and take decisions regarding the
health of the engagement
Work with your team to solve complex problems. Typically, these business problems
cannot be solved using a linear/single line of thought. 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
Provide support for projects in areas ranging from: core data engineering, design
architecture, cloud capabilities to mathematical model building, evaluation, and
operational support
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