Mu Sigma

What we do at Mu Sigma

Analytics and data-driven decision making have the potential to drive distinct competitive advantage for companies. But those same firms are challenged to scale their use of analytics and make analytics integral to all business decisions. As the world’s largest pure-play decision sciences and analytics provider, Mu Sigma helps clients systematize decision support and analytics, and serves as catalyst for making the promise of Big Data real in large enterprises. We help 140 of the Fortune 500 traverse the journey from Data Engineering to Data Sciences and Decision Sciences, providing an integrated man-machine ecosystem of platform, processes, and people products.

Be a Decision Scientist

Bangalore, India, is where 3500 Decision Scientists do problem solving/data science for some of the largest corporations in the world. Mu Sigma, today, is a leader in the Decision Sciences space. We have achieved this because of our belief that talent in our industry needs to be created and not found and that everybody has the ability to become a Decision Scientist.

Every candidate who joins us as a Trainee Decision Scientist (upon graduating) will attend Mu Sigma University. As part of MSU, you will learn the concepts of decision sciences from scratch and have access to technologies used exhaustively and exclusively in the field. Being part of this juggernaut however has several requirements and expectations.

Do not come on board if:

1. You are not hungry to learn (be it new subjects, businesses or technologies)
2. You don’t want to work in an extremely fast paced environment
3. You’re not open to change and prefer to stay within your comfort zone in terms of work, practices, people and everything else
4. You don’t want to get your hands dirty with a little programming
5. All you want to do is programming
6. You don’t want to take on additional responsibilities within the team
7. You don’t like documenting your learning and work

Be an Apprentice Leader

With experience between 3-10 years, Mu Sigmans across the board grow into being Apprentice Leaders. Watch this video to meet some of our ALs 

 A typical day in the life of an AL

• Catch up with onsite counterparts to understand client requirements.
• Synthesize the (sometimes ambiguous) information from the call with onsite and help your team make sense of it.
• Decide the approach while thinking through possible deadlocks in advance. Typically our business problems cannot be solved using a linear/single line of thought. Some days, you would find yourself deeply engrossed in debugging a code, writing a program while on other days you could be designing an algorithm or defining the right architecture (That makes it all the more fun!)
• In the afternoon, meet up with some team members (over a working lunch!) to understand their problems/concerns and to enthuse them in general. We have an open work culture and encourage sharing of ideas.
• Also make time to attend some knowledge sharing sessions to awaken your senses post lunch. The topics are an interesting potpourri of ideas ranging from Casino Gambling to Social Media Analytics to Analytics in counter terrorism. You will present some of these yourself eventually.
• In the evenings and you’d find yourself talking to the client, presenting insights from work your team performed during the day. You’ll close the day by addressing concerns if any.
• In short, a day would involve hands-on delivery – be it brainstorming on a project, or writing some algorithm in SAS/R/Java or whatever technology it takes, preparing a deck.

Our people are part business analyst, part applied mathematician and part programmer. While most companies treat these as three separate roles, we view them as one – the decision scientists. The only problem, decision scientists cannot be readily found. And so we set up on recruiting them ourselves and then train them through our in-house Mu Sigma University.

At Mu Sigma University, we start with the basics of design thinking, Story boarding, and structured problem solving. This is followed by an intensive curriculum in analytics – univariate, bivariate, multi-variate, latent class analytics, Bayesian modelling, econometrics, various analytical tool. Then we sprinkle in business acumen, with what we like to call mini MBA for the quantitatively inclined. It’s a substantial investment – because the Decision Scientist is a critical part of our ecosystem.

Through MSU, we develop the right talent and wrap them in the bionics of our analytical processes and platform. It’s not man plus machine, but Man-Machine, the iron man we are talking about.

In the Rest of the World (ROW), we refer to ourselves as Client Services.

Our primary job is to help clients solve problems such that they can take better, data driven decisions.

We work with our clients on a variety of challenges, ranging from analyzing the chemical backings of pharmaceutical drugs, to optimizing the global supply chains of consumer product companies, to helping banks turn fraud detection into improved consumer experiences.

How do we do this?

The client services teams, work towards understanding the business perspective, engaging with the client, empathizing with the client, selling ideas, and acting as partners to them. Specifically, we:

• Engage with clients to understand their business challenges
• Gather client requirements and provide context to the offshore teams based out of Bangalore, India
• Work alongside offshore teams to solve data-intensive problems using Mu Sigma’s analytical frameworks and tools
• Present the results of the work to the client’s senior management, offering actionable insights and recommendations that lead to measurable business impact
• Build relationships with clients, helping them improve their consumption of analytics to drive their business operations and decision-making

In summary, you are the face of Mu Sigma for our clients where you act as a sales ambassador for Mu Sigma, seek new opportunities for business growth, manage relationships and steer current projects. Your contribution directly helps grow the topline of the organization. You will also act as a bridge between the India fulfillment teams and our clients in the US, thus ensuring smooth delivery. Both these components working in harmony, makes one team.

The Client Services team typically operates out of client offices. Locations include New York, New Jersey, Atlanta, Chicago, Bentonville, San Francisco and Seattle in the US. We also partner Clients in Singapore, Japan, Australia, Canada, Europe, Mexico and the Middle East.