Careers

Want a career in Decision Sciences? Want to work with Fortune 500 companies? Want to push your boundaries and scale new heights? Look no further!

At Mu Sigma, we constantly seek fresh young talent and those looking to boost their careers and growth.

Talent Strategy

Mu Sigma is a company for the young, with the young, and by the young. Over the years, we have cracked the formula for training graduates out of college and molding them into professionals who can deliver impact. We hire globally and look for a solid foundational skill set in math and statistics. Being a Mu Sigman requires a unique mindset combining curiosity, learning-on-the go, engaging effectively, and grit. When you enter Mu Sigma, you start the journey of a lifetime.

How We Work

At Mu Sigma, we are method-oriented and vibrant. Whether onsite with clients or in our delivery center, the energy on the floor is palpable. We don't fear the business problems we face, nor do we hold the methods of the past in high regard. But we are humble enough to know we don’t possess all the answers. We are proud of our math, technology, and business roots. After all, our name stands for the mean and standard deviation. We acknowledge that we are a bunch of data-driven, analytical geeks. We know that geeky is cool in this world of fast-paced change, and we are proud of it.

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Growth

Over the last 18 years, Mu Sigma has nurtured over 14500+ Decision Scientists. We hire people out of colleges and develop them into world-class Decision Scientists. Everyone at Mu Sigma goes through a unique growth path focused on developing their Math, Business, and Tech quotient. At Mu Sigma, you can solve real-world problems while continuously learning new skills. We provide an environment that tests our boundaries and digs deep into our potential while providing a clear growth path.

FAQs

We've got the answers to your questions.

How do I apply for a job at Mu Sigma?
It’s quite simple. If you are a fresh graduate or a student getting ready to graduate, you can send us your CV to DSRecruitments@mu-sigma.com. You can also check the careers page for open job positions and apply directly to open roles suited as per your experience.
What is a typical workday like in Mu Sigma?
You begin your day by engaging with peers and interacting with colleagues across the organization, collaborate with clients on priorities and strategies, solve problems for your clients, socialize with friends over a cup of coffee, utilize internal Mu Sigma tools to improve problem solving skills and produce results. Learning is a continuous process in Mu Sigma – so you will definitely learn something new every day.
How can I find an internship at Mu Sigma?
Currently we do not have any Internship Program but do please drop us your resume at DSRecruitments@mu-sigma.com and we will look into it.
What types of degrees and training are required?
We mostly look for graduates from STEM courses – but specifically those that have Math as a key subject. Engineering Degrees: BTech, BE (All branches). Non-Engineering: BCA, MCA, BSC (Maths, Stats), BA, BCom (Maths, Stats, Economics), B. Pharm, M. Pharm, Bioinformatics, Pharm-D or Microbiology.
Is country residency or work authorization required to apply for a role?
Yes.
How do I prepare for an interview at Mu Sigma?
We look for a Math+Business+Technology quotient when speaking to candidates. You also need to have a hunger for learning, display GRIT and have a go-getter attitude. It will definitely help your chances if you have basic understanding of R, Python, SQL, Tableau and Visualization.
What essential skills are required for a data science role in your company?
We look for people with the right mindset and skillset. We typically look for candidates with a statistics, mathematics, and computer science background. We also value candidates with experience in machine learning, data visualization, data analysis, and programming languages such as Python or R. From a business standpoint; we look for strong communication, collaboration, and leadership skills.
What is the recruitment process for data scientists in your company?
We predominantly hire via campus and off-campus drives for freshers, but we also hire laterally, depending on available positions. Our recruitment process typically involves aptitude assessments, group discussions, personal interviews, and problem-solving case studies. Our processes generally take 2 to 4 weeks.
What are the company's work hours and output expectations for new hires?
Mu Sigma values quality interactions and focuses on work-life harmony. We provide a challenging environment that pushes employees to test their boundaries and potential. Our excellent time-off policy allows employees to take a break when needed. We work 45 Hours a week – Monday to Friday- following a hybrid work model.
Can you describe the company culture and work environment for data science employees?
Our company culture emphasizes continuous learning, extreme experimentation, and interactions. We provide a supportive environment that fosters creativity and critical thinking. We work together to solve complex problems and celebrate individual and team successes. We also encourage open communication and allow employees to share their ideas and opinions. We are a flat hierarchical organization designed to foster seamless communication.
How does the company promote diversity and inclusion in the workplace?
Did you know we are one of the few companies that practices gender pay parity at all levels? The role and your capabilities define your compensation. We have established policies to promote a respectful and inclusive work environment. We have established diversity and inclusion training programs, encourage open communication, and have established metrics to measure our progress.
Are there opportunities for professional development and career advancement within the company?
YES! We work with 140 plus Fortune 500 companies and provide ample opportunities to interact with clients across industries and develop professionally. For employees who demonstrate high-performance and a consistent drive for development/learning, there are ample opportunities.
What kind of mentorship and guidance is available for new employees?
All new Decision Scientists go through a structured 4-year program based on the ethos of “Learning-Doing-Teaching.” The TDS will have an immersive learning plan that includes self-learning, on-the-job training, and mentors who guide and lead one's learning journey. We also have a deep and robust toolkit that enables learning while also enabling quality.