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Internship

Data Science Intern (Summer 2024)

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IPG DXTRA

15d ago

🚀 Summer Internship

Washington, DC

AI generated summary

  • You need a Bachelor’s degree and experience with machine learning, AWS, Python, SQL, R, statistics, data extraction, visualization tools, PR, media industry, communication skills, web analytics, social media monitoring, data trends, and social platforms.
  • You will analyze client data, create data pipelines, develop predictive models, and collaborate with teams to optimize marketing strategies and business processes.

Summer Internship

DataWashington, DC

Description

  • Our Analytics internship is a full-time, paid program designed to complement and enhance academic studies through participation in a variety of assignments and professional responsibilities. Interns work side by side with the firm’s diverse team of strategists, analysts, producers, designers, developers and campaign activators.

The intern assigned to our analytics team will work on a range of projects from communications reporting and automation to machine learning, and big data integration. You’ll work on clients of all types, using data to solve strategic business and communications problems. We hire technical Analytics interns to one of two tracks:

  • Data Modelers: data scientists with a background in statistics and modeling (e.g. cluster-based segmentations, regression modeling, decision trees, and media mix modeling)
  • Data Engineers: data gurus with skills in accessing data from multiple data sources, building pipelines, ingesting and transforming data to be used for modeling and mining.

Requirements

  • Education: Bachelor’s degree
  • Availability: 40 hours a week from June to August
  • Additional Qualifications: Ideal Analytics intern candidates will possess some combination of the following. Please note: you do not have to have ALL of these qualifications, just some combination of them, in order to be a viable Analytics candidate.
  • Excellent understanding of machine learning techniques and algorithms
  • Experience with some or all of the following: AWS or similar platform, Python, SQL, R
  • Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Experience with extraction and integration of data from multiple data sources
  • Knowledge of ETL techniques and frameworks
  • Experience with data visualization tools like Tableau
  • Interest in data-based storytelling
  • Basic understanding of intersection of traditional and digital PR and familiarity with developments in the media industry
  • Strong verbal and written communication, organizational, time-management, and critical-thinking skills
  • Experience working with or interest in web analytics, social and traditional media monitoring, and social media analytics platforms
  • Experience working with or interest in data visualization tools and creative ways to display information
  • Keen eye for data trends and the ability to solve strategic business and communications problems
  • Familiarity with developments in the media industry, plus knowledge of a variety of social platforms (i.e. Facebook, Twitter, LinkedIn, Instagram, Snapchat, etc.) and the latest news and trends affecting these channels

Education requirements

Currently Studying
Bachelors

Area of Responsibilities

Data

Responsibilities

  • Understand client background and needs, including general business strategy, industry issues, products and services, key customers and competitors in the marketplace
  • Participate in strategic brainstorming sessions when invited by account leads or supervisors
  • Create and maintain optimal data pipelines and data integration solutions
  • Assemble large, complex data sets that meet business requirements through web scraping or API’s
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Mine and analyze data to drive optimization and improvement of campaign management, marketing techniques and business strategies
  • Develop custom predictive models and machine learning algorithms tailored to client’s business problem
  • Coordinate with different teams to implement models and monitor outcomes

Details

Work type

Full time

Work mode

hybrid

Location

Washington, DC