- Dell Technologies Jobs in Bangalore for Graduates
- Job Title: Data Science Advisor
- Salary: Not Disclosed
- Location: Bengaluru
- Company: Dell Technologies
- Qualification: Any Graduate
- Experience: 6 – 11 years
About Dell Technologies
The role of data science advisor at Dell Technologies in Bangalore focuses on taking advantage of advanced MMX modeling to measure and customize global marketing effectiveness. You will be responsible for designing, developing, and implementing sophisticated statistical models analyzing multi-channel marketing data. Your insight will directly guide strategic budget allocation and investment decisions for senior leadership. This situation requires statistics with strong technical expertise in Python/R /R and strong business skills to run a data-informed marketing strategy globally.
Job Overview:
Dell Technologies is a global industry leader in designing, developing, and building a broad portfolio of new technologies. This provides the infrastructure required to build its digital future, change its IT environment, and protect its most important assets: information. Product suites include individual computers, servers, storage solutions, and network devices, complemented by VMware software. Inspired by a passion for customers and a commitment to long-term innovation, the Dale makes countries, communities, and people develop everywhere.
Key Qualifications: Jobs in Bangalore for Graduates
MMX modeling includes the major qualifications for a data science advisor:
- Advanced Analysis Skills: A master’s or PhD in statistics, economics, mathematics, computer science, or a related quantitative field is highly valuable. A strong fundamental knowledge is non-parasitical.
- Siddha’s expertise in statistical modeling: You should have experience in time-series analysis, regression modeling, bioecian methods, and, of course, in the manufacture and calibration of MMX models.
- Technical proficiency: Mastery of data science equipment is necessary. This includes programming languages such as Python (Panda, PneumP, SCIPY) and R, experience with data visualization tools (Tableau, Power BI), and a strong command of SQL to handle large, complex datasets.
- Business Intelligence: Your technical skills should be matched by Sharp Business Acumen. You need to translate the complex model output into clear, actionable strategies for marketing and executive leadership.
- Communications and Story: This is an advisory role. Your ability to convey complex conclusions to non-technical stakeholders, assuring them of their data-making recommendations, is important for success.
Key Responsibilities:
The responsibilities of a data science advisor are far beyond building a model. They include the complete data cycle, from conception to implementation.
Your main responsibilities will include:
- End-to-end model development: leading the design, development, and implementation of scalable MMX models to measure marketing effectiveness in all channels and regions.
- Data analysis and synthesis: Integrating data from uneven sources- web analytics, CRM systems, sales data, third-party market data- in a harmonious dataset prepared for analysis.
- Playing advanced simulation: Helping business forecast results based on various budget allocation and market conditions, using your model to make an analysis and a landscape plan.
- Cross-functional cooperation: Working directly with marketing teams, finance partners, and senior leadership to understand business challenges and define major performance indicators (KPI).
- Providing actionable insights: compelling presentations, creating dashboards, and reports that tell a story with data, provide clear recommendations on budget adaptation and marketing strategy.
- Mentorship and Leadership: To act as a subject matter expert and to guide junior data scientists within the team, promoting the culture of analytical excellence.
Why is this role a career game-changer?
Especially as one provides immense benefits:
- Impact on scale: The models you created will directly affect the global marketing strategy of the del Dale, which will affect millions in advertising expenses and revenue.
- Skill enhancement: You will work with some of the world’s largest and most complex datasets, and honor your technical skills at an aristocratic level.
- Strategic Visibility: As a consultant, you interface with senior leadership, giving you a new view of business and accelerating your professional growth.
- Dale’s ecosystem: You become part of the innovation of Dell’s culture, with state-of-the-art equipment, a training program, and access to a network of world-class experts.
Documents to Carry:
Absolutely. Here are documents for a new job, which are presented in a simple format:
- Photo identification proof (Aadhaar, PAN, passport, or driver’s license) issued by the government.
- Many copies of your passport-shaped photos for official forms.
- Original educational degree and mark sheet certificate for verification.
- The official proposal letter and any other company-provided onboarding documents.
- Proof of address and relevant tax deduction documents (eg, Form 12B).
Salary and profit:
Absolutely. Here are the marks on salary and benefits:
- A competitive base pay with performance-linked variable pay.
- Comprehensive health insurance coverage for you and your dependents.
- Retirement benefits such as a provident fund (PF) and gratuity,
- including holiday, sick holiday, and holidays.
- Opportunities for professional development and reimbursement programs.
FAQs:
Absolutely. Here is a simple, FAQ answer in format:
- According to your proposal letter, the notice period is usually 60 to 90 days.
- The work model is a hybrid flexible model, combining office and distance work.
- Dress code is business casual for a professional office environment.
- Yes, comprehensive health insurance starts from your first official day.
- You can apply for an internal move after completing 12 months in your current role.
Preparation for your Jobs in Bangalore for Graduates:
For graduates seeking “Dell Technologies Jobs in Bangalore”, the path of a data science advisor begins today. Note the creation of a strong portfolio of data projects, contributing to the open-source initiative, and gaining practical experience through internships. Develop both your technical chops and your business communication skills.