Data Scientist Senior Advisor
@ Dell Technologies

Bengaluru, Karnataka, India
On Site
Full Time
Posted 3 days ago

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Job Details

Data Science Senior Advisor

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Join Dell Technologies to influence business strategy by providing deep dive analysis, predictive modeling, and actionable insights on petabyte-scale data sets.

What You Will Achieve

You will contribute to business strategy by interpreting complex data sets and delivering compelling recommendations. Your responsibilities include gathering and preprocessing marketing data from various sources and designing Bayesian Marketing Mix Models.

  • Preprocess and consolidate cloud and on-premise marketing data.
  • Design Bayesian models to measure marketing impact.
  • Develop hierarchical Bayesian frameworks across geographies.
  • Create visualizations to clearly present insights.
  • Collaborate with cross-functional teams and maintain version control on GitHub.

Key Skills/Competency

Data Science, Marketing Mix Models, Python, R, SQL, Bayesian, Cloud, GCP, Databricks, Visualization

About the Role

This role requires hands-on experience in building marketing mix models and a strong command of Python, R tidyverse and SQL. Familiarity with cloud platforms such as GCP and Databricks is essential, along with reproducible artifact building using RMarkdown and Notebooks.

Who We Are

Dell Technologies empowers individuals and organizations to transform how they work, live, and play. We value diversity and equal opportunity and strive to create an inclusive environment.

How to Get Hired at Dell Technologies

🎯 Tips for Getting Hired

  • Research Dell Technologies culture: Understand mission, values, and latest projects.
  • Customize your resume: Highlight data science and marketing mix expertise.
  • Showcase technical skills: Demonstrate Python, R, SQL, and cloud experience.
  • Prepare for interviews: Practice explaining complex models clearly.

📝 Interview Preparation Advice

Technical Preparation

Review Python data libraries and packages.
Practice building Bayesian models for marketing.
Study cloud platform tools like GCP, Databricks.
Master reproducible coding with RMarkdown.

Behavioral Questions

Describe challenging data projects you led.
Explain a time you overcame technical obstacles.
Share a story of effective team collaboration.
Illustrate decision-making in complex projects.

Frequently Asked Questions