Data Science

Solving a problem can be as simple or as complicated as you make it to be. But the key to
solving a problem is Asking the right questions to enable the process of decision making.
This is where we come in we solve problems by bringing down the cost of asking questions.
Mu Sigma is one of the worlds 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 provide our clients with a holistic ecosystem of
proprietary technology platforms, processes, and people. This ecosystem 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.
Our unique approach to problem solving using cross-industry expertise corroborates our
sustainable engagement model with our clients still further, making us one of the most
preferred analytics and Decision Sciences partners.
With over 3000 Decision Sciences professionals, we take pride in being a category and career
defining company. As we continue to scale, we are also looking at hiring the right talent
across various levels in our organization. Our unique talent management philosophy has
been critically acclaimed by the likes of Harvard Business Review.

Big Data tops many a list of business priorities, thanks to its growing volume, velocity, and

variety. However, it is not data, but change that is the cause of anxiety to organization,

bringing with it greater complexity.

The challenge here is that analytical thinking isnt keeping pace with the rate of change in

business. This is where we come in we address the gaps.

Mu Sigma is one of the worlds 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 provide our clients with a holistic ecosystem of

proprietary technology platforms, processes and people. This ecosystem helps us scale the

use of our unique interdisciplinary approach of combining math, business, technology,

behavioural science and design thinking to operationalize Decision Science as opposed to Data

Science.

Our unique approach to problem solving using cross-industry expertise corroborates our

sustainable engagement model with our clients still further, making us one of the most

preferred analytics and Decision Sciences partners.

With over 3500 Decision Sciences professionals, we pride in being a category and career

defining company. As we continue to scale, we are also looking at hiring the right talent

across various levels in our organization. Our unique talent management philosophy has

been critically acclaimed by the likes of Harvard Business Review.

Role:
Experience: 1.5-3.5 years

Location: Bengaluru

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

We have an open work culture, and we encourage sharing of ideas. You would see yourself sharing ideas and participating in discussions with team members across teams. You would be dealing with problems from team members, direct reports and superiors from various backgrounds and experiences.

Collaborate with the various business functions in Mu Sigma, like Sales, Marketing, Mu Sigma University, Talent Management and Delivery & Innovation, helping them from your experiences in Delivery, and learning their way of operating, in return

The workday stretches into late evenings and you would find yourself talking to the client, presenting insights from work and engaging the clients in discussions around growth and future pipeline development. You would have to work on defining this pipeline and ensuring growth is driven by great delivery and satisfactory client engagement

In short, a day would involve delivery be it brainstorming on a project, QCing codes on Python/R/SAS or whatever technology it takes, preparing a deck for delivering insights and growth, collaborating with the India Leadership to come up with new ideas and solution design, driving client conversations centred around growth and guiding team members across the lifecycle of the engagement

Skills & Competencies:
Possess strong analytical/logical t