Apprentice Lead

4 - 5 years

10.0 - 12.0 Lacs P.A.

Bengaluru

Posted:2 months ago| Platform: Naukri logo

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Skills Required

Data AnalyticsData ScienceTeam HandlingRDecision SciencesPythonSQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Company Big data tops many lists of business priorities, thanks to its growing volume, velocity, and variety. However, it is not the data, but the change that causes anxiety in organizations, 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, 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 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 : Apprentice Leader Location : Bengaluru Eligibility Engineering (B.Tech/BE) with 4 to 5 years of experience or MBA with 3 to 4 years of experience Minimum aggregate of 70% in 10th and 12th grades, and an aggregate CGPA of 7 in UG Only those candidates who have graduated in 2018/2019/2020/2021 are eligible to apply How will your typical day look like? Meet with the team to identify and mitigate potential gaps in a client engagement. Take actions to ensure healthy growth of the engagement with focus on high quality delivery, client relationships and employee engagement Collaborate with the client services team to assess and take decisions regarding the health of the engagement Work with other ALs to prioritize high priority problems that need immediate attention. 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 other ALs in the team Provide guidance and support for projects ranging from: core data engineering, design architecture, cloud capabilities to mathematical model building, evaluation and operational support We have an open work culture and encourage sharing of ideas; hence you would see yourself talking to team members across teams to understand their problems and concerns. 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 Youll also make time to attend meetings with the India Leadership and client services leadership, discussing the progress of your engagement, highlighting the highs and lows of your engagement and asking for help across the organization The workday stretches into late evenings, and youd 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, Quality Checking 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 centered around growth and guiding team members across the lifecycle of the engagement What do we expect from you? Ability to make sense of ambiguity: To lead your team out of murky waters and keep the spirits high in the process. This will be a team with a wide mix of capabilities and experiences An open mind and a knack for interacting and motivating people from diverse backgrounds Ability to handle scale and influence other people and processes, to mold the environment in a way that helps achieve the teams goals Ability to apply first principles and structured approaches to problem solving as opposed to relying excessively on past domain expertise alone Belief in the fail fast and learn” way of doing things rather than sitting out of the process. We need people who know when to ‘Ask for Help’ and learn on the job A strong appreciation for Math, Business and Technology and an appetite to get your hands dirty with any/all of them as required Willingness to do an honest and continuous evaluation and development of your leadership skills What do we offer you in return? An opportunity to scale one of the first unicorns of India A continuous learning environment that will nurture you to become a great leader One of the most challenging and diverse work environments where “learning” is a way of life Top notch peer group which will force you to expand your envelope of capabilities Ability to assist and work with multiple business functions and learn the nuances of operations across each of them An open culture where counterpoints are encouraged, and the emphasis is on collaborative learning Guarantee that you will enjoy every workday while being a part of a select group which will redefine the way decisions are made across the world In office Expectations: This is a fully in-office role with office hours typically ranging from 12 PM to 11 PM, following a 9-hour shift, depending on the clients you're assigned. We primarily serve North America and Europe regions. To Apply for this position, Please complete the application by clicking on the link below, Link: https://forms.office.com/r/YCqiKG0N1R

Analytics and Data Science
Chicago

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