Masters or PhD Intern, Marketing Data Science & Data Analytics

IBM

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Employment
Intern
Posted
8 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $175k
$100k most similar roles pay here $251k

This listing doesn't post a salary. Most similar roles pay $114,325–$236,375.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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TL;DR · Masters or PhD Intern, Marketing Data Science & Data Analytics

2027 Masters or PhD Intern — Marketing Data Science & Data Analytics is a role within the Performance Intelligence team focused on building intelligence that powers and orchestrates performance across various tactics and buyer groups. Working as part of a collaborative team, you will develop scalable analytical solutions to provide data-driven optimization insights while managing large, complex datasets to solve non-routine analysis problems. Your daily work involves end-to-end analysis including research, data gathering, processing, and presenting findings. To succeed, you must possess skills in Python, scripting, and statistical software like R or SAS, alongside experience with PowerBI or Tableau for visualization. You will apply advanced methods such as linear models, clustering, time series, and Bayesian methods to address strategic marketing business challenges. The role requires a strong grasp of data warehousing, ETL processes, and predictive modeling techniques.

What you'll do

  • Develop scalable analytical solutions to provide data-driven insights and optimization recommendations.
  • Analyze large, complex datasets to solve non-routine problems using advanced analytical methods.
  • Perform end-to-end analysis including industry research, data gathering, and requirements specification.
  • Process and analyze raw data to produce ongoing deliverables for the Performance Intelligence team.
  • Create presentations to communicate findings and insights to stakeholders.
  • Apply predictive modeling techniques to extract meaningful information from large datasets.
  • Utilize data visualization tools like PowerBI or Tableau to represent complex information.

What we're looking for

  • Must have a High School Diploma or GED.
  • Must be pursuing a graduate degree in a quantitative discipline such as statistics, data science, or computer science.
  • Must be available for an internship from May 24, 2023, to August 13, 2027, and completing the degree between Fall 2027 and Summer 2028.
  • Experience using Python, scripting, or statistical software like R, SAS, or SPSS is required.
  • Proficiency in statistical analysis methods including linear models, clustering, time series, and Bayesian methods is required.
  • Knowledge of data visualization tools such as PowerBI or Tableau and experience with data warehousing and ETL are required.
  • Must be fluent in English with strong written and verbal communication skills.
  • Bachelor's Degree.

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