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Florham Park, NJ

Internship

Onsite

Intern

Reworld Waste is a leader in sustainable waste solutions, providing innovative approaches to achieve carbon-negative outcomes. As a summer intern in the Data & Analytics team, you will gain hands-on experience with data science, visualization, and data-architecture projects while collaborating with senior analysts to explore business problems and develop analytical solutions.

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Responsibilities

Collaborate on Mini‑Projects – Work side‑by‑side with senior analysts to explore business problems, gather data, and prototype analytical solutions
Data Exploration & Requests – Help identify and request data from internal and external sources (SQL databases, APIs, simple IoT feeds, spreadsheets)
Assist with ETL Basics – Support the build and testing of simple extract‑transform‑load pipelines for structured data (e.g., CSV, Excel) and get exposure to handling unstructured files
Tool‑Based Analysis – Use Python (or R) and libraries such as pandas, scikit‑learn, and NLTK to clean data, perform basic statistical analysis, and create quick visual insights
Visualization Support – Build dashboards or static reports in Power BI or MicroStrategy to communicate findings to business partners
Present Findings – Prepare short presentations or written summaries that explain your work in plain language for non‑technical audiences
Mentorship & Growth – Attend weekly mentor sessions, technical brown‑bag talks, and team “innovation labs” to expand your skill set

Qualification

Required

Currently pursuing a Bachelor's degree (Junior or Senior) in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
Coursework in programming (Python or R), databases (SQL), statistics, and basic machine‑learning concepts
Ability to clean, explore, and visualize data; comfort with numerical reasoning and simple statistical tests
Motivated self-starter who is passionate about sustainability and interested in learning more about innovative waste solutions
Strong communicator who thrives in a collaborative, safety-oriented environment
Basic proficiency in Python (or R)
Familiarity with pandas, NumPy, or similar data‑handling libraries
Experience with SQL (SELECT queries)
Exposure to Power BI, MicroStrategy, or Qlik (even from class projects)