Trainee Decision Scientist
Mu Sigma Inc. · Bengaluru, Karnataka, India
- On site
- Full-time
- $60,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Solve complex business problems using analytics.
- Collaborate with clients and internal teams.
- Develop solutions using math and technology.
- Support data engineering and model building.
- Drive engagement growth and client satisfaction.
About the role
About Mu Sigma
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 isn’t 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 world’s 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 ourselves 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: Trainee Decision Scientist
- Experience: 2-4 years
- Location: Bengaluru
- Work Mode: Work from Office ONLY
- Shift Timings: 12:00 PM to 9:00 PM
Roles & 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 that 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.
- Provide support for projects in areas ranging from core data engineering, design architecture, cloud capabilities to mathematical model building, evaluation, and operational support.
- Share ideas and participate in discussions with team members across teams, dealing with problems from various backgrounds and experiences.
- Collaborate with various business functions in Mu Sigma, like Sales, Marketing, Mu Sigma University, Talent Management and Delivery & Innovation.
- Engage with clients to present insights, discuss growth and future pipeline development, and define this pipeline.
- Work on defining this pipeline and ensuring growth is driven by great delivery and satisfactory client engagement.
- Brainstorm on projects, QC codes on Python/R/SAS, prepare decks for delivering insights and growth, collaborate with India Leadership on new ideas and solution design, drive client conversations, and guide team members.
Skills & Competencies:
- Possess strong analytical/logical thinking skills and clarity of thought to identify and solve business problems.
- Ability to learn complex businesses quickly, define problems accurately, and pay attention to detail in the solution.
- Experience in Excel, VBA/Macros, SQL, SAS/R, Python, dashboarding is good to have.
- 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; taking initiative and 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:
- BE / B. Tech
Key skills/competency
- Decision Science
- Data Analytics
- Problem Solving
- Client Relationship Management
- Business Technology
- Python
- SQL
- SAS
- R
- Excel
Skills & topics
- Decision Scientist
- Analytics
- Data Science
- Big Data
- Problem Solving
- Business Intelligence
- Python
- SQL
- SAS
- R
- Excel
- Client Engagement
- Bengaluru Jobs
- Trainee Role
- Mu Sigma
How to get hired
- Tailor your resume: Highlight analytical skills, problem-solving abilities, and any experience with Excel, SQL, Python, R, or SAS. Quantify achievements where possible.
- Showcase technical aptitude: Emphasize your BE/B.Tech qualification and any projects or academic work demonstrating Business Technology interest and analytical tool proficiency.
- Prepare for problem-solving: Be ready to discuss how you approach complex, non-linear problems using first principles, math, and technology.
- Demonstrate communication skills: Highlight your ability to collaborate with diverse teams and present insights clearly, as client interaction is key.
- Understand Mu Sigma's approach: Research their focus on Decision Science, interdisciplinary methods, and commitment to data-driven decision-making.
Technical preparation
Master Excel, SQL, Python, R, and SAS.,Practice data extraction and analysis.,Build dashboards and visualize data.,Understand core data engineering principles.
Behavioral questions
Describe a complex problem you solved.,How do you handle tight deadlines?,Share an initiative you took.,How do you collaborate with diverse teams?
Frequently asked questions
- What are the typical career paths for a Trainee Decision Scientist at Mu Sigma?
- As a Trainee Decision Scientist at Mu Sigma, you would typically progress through various roles within Decision Science, potentially specializing in areas like data engineering, mathematical modeling, or client relationship management. The company emphasizes category and career-defining growth, suggesting opportunities to take on more complex projects and leadership responsibilities over time.
- What kind of training can I expect as a Trainee Decision Scientist at Mu Sigma?
- Mu Sigma has a well-acclaimed talent management philosophy, often featuring programs developed in collaboration with institutions like Mu Sigma University. You can expect comprehensive training in their interdisciplinary approach, combining math, business, technology, behavioral science, and design thinking to operationalize Decision Science.
- Is prior experience in Big Data or analytics essential for the Trainee Decision Scientist role?
- While the role is for a Trainee Decision Scientist with 2-4 years of experience, Mu Sigma looks for strong analytical and logical thinking skills, a quick learning ability, and a strong academic foundation (BE/B.Tech). Experience with tools like Excel, SQL, Python, R, or SAS is considered a plus, indicating that a strong aptitude and willingness to learn are prioritized.
- What does 'Work from Office ONLY' mean for this Trainee Decision Scientist position in Bengaluru?
- 'Work from Office ONLY' means that this Trainee Decision Scientist role requires you to be physically present at the Mu Sigma office in Bengaluru throughout your work week. Remote or hybrid work arrangements are not an option for this specific position.
- How does Mu Sigma's 'Decision Science' differ from 'Data Science' for this role?
- Mu Sigma emphasizes 'Decision Science' as operationalizing insights to drive better business decisions, integrating math, technology, and behavioral science. While 'Data Science' often focuses on extracting insights from data, 'Decision Science' at Mu Sigma is about translating those insights into actionable strategies and institutionalizing data-driven decision-making within client organizations.
- What are the typical challenges faced by a Trainee Decision Scientist at Mu Sigma?
- Challenges can include solving complex, non-linear business problems, managing multiple projects under tight deadlines, and adapting to diverse client needs. The role also requires willingness to work extended hours and continuously learn and collaborate across various business functions.
- How important are communication and interpersonal skills for a Trainee Decision Scientist at Mu Sigma?
- Communication and interpersonal skills are crucial. You will be collaborating with client services teams, business functions within Mu Sigma, and directly engaging with clients to present insights and drive growth conversations. Strong communication is essential for client satisfaction and engagement.