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Internship Pandas Jobs in Arizona (NOW HIRING)

Intel

ATD Experienced Laser Development Engineer

Phoenix, AZ · On-site

$115K - $219K/yr

  • Medical

  • Retirement

  • PTO

... internship experiences and or schoolwork/classes/research. Minimum Qualifications: * Bachelor ... Pandas, SQL, JMP, Minitab) to manipulate large complex data sets. We invite you to bring your ...

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Internship Pandas information

What is an internship pandas?

Internship Pandas typically refers to internship positions focused on working with the Python Pandas library, which is a powerful tool for data manipulation and analysis. Interns in these roles often assist with data cleaning, processing, and analysis tasks using Pandas, and may contribute to projects involving data science or data engineering. These internships are ideal for students or recent graduates looking to gain hands-on experience with real-world data and develop their Python programming skills.

What types of projects might I work on during an internship focused on Pandas in a data science team?

As an intern specializing in Pandas within a data science team, you can expect to be involved in tasks such as cleaning and preprocessing raw datasets, performing exploratory data analysis, and creating data visualizations to uncover trends. You may assist with building data pipelines or automating repetitive data manipulation tasks using Pandas. Collaboration with data scientists and analysts is common, as you'll often support ongoing projects and contribute to team discussions about data-driven insights. This hands-on experience is a great way to build technical skills and understand real-world data workflows.

What are the key skills and qualifications needed to thrive as an internship pandas, and why are they important?

To thrive in a Pandas internship, you need foundational knowledge of data analysis, Python programming, and a basic understanding of statistics, often supported by coursework or self-directed learning. Familiarity with the Pandas library, Jupyter Notebooks, and version control systems like Git is typically expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly help interns stand out. These skills are crucial for efficiently handling data tasks, collaborating with team members, and delivering meaningful insights in a real-world data environment.

What is the difference between Internship Pandas vs Data Analyst Intern?

AspectInternship PandasData Analyst Intern
Required SkillsBasic Python, Pandas library, data manipulationData analysis, Excel, SQL, Python or R
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, marketing sectors
Typical Duration3-6 months3-6 months
Common TasksData cleaning, analysis using PandasData visualization, reporting, analysis

Internship Pandas focuses on data manipulation using the Pandas library in Python, ideal for those interested in data cleaning and analysis. Data Analyst Intern roles often require broader skills like Excel and SQL, with tasks including reporting and visualization. Both roles are common in tech and business sectors, offering valuable experience for aspiring data professionals.

What are the most commonly searched types of Pandas jobs in Arizona?

The most popular types of Pandas jobs in Arizona are:

What are popular job titles related to Internship Pandas jobs in Arizona?

For Internship Pandas jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Internship Pandas jobs in Arizona look for?

The top searched job categories for Internship Pandas jobs in Arizona are:

What cities in Arizona are hiring for Internship Pandas jobs?

Cities in Arizona with the most Internship Pandas job openings:

Internship Pandas jobs near you

Data Science Intern, Interconnection & Transmission

Arevon

Scottsdale, AZ • On-site

Internship

Posted 4 days ago

Job description

The Position

Arevon is recruiting for the position of Data Science Intern, Interconnection & Transmission, an outstanding opportunity for individuals seeking an exciting, high-growth work environment in one of the most important industries for the 21st century.

The Data Science Intern will support the Interconnection and Transmission teams by ensuring accurate collection, organization, and maintenance of critical data across multiple systems. This role will focus on collecting, compiling, and/or sourcing data/information from multiple sources, transforming it into useable database(s).

The role will also provide an opportunity to gain an understanding of how data can be used across various cutting-edge tools used in the electric generation and transmission industry.

Projects:

  • Map Eastern Interconnection (EI) and Western Electricity Coordinating Council (WECC) Generation Interconnection Queues (GIQ) and transmission projects to raw source files.
  • Aggregate, map and process regional ISO/RTO queue filings, tracking project statuses (e.g., active, under study, withdrawn, operational) and Interconnection customer data.
  • Develop a change-set tracker to monitor changes in transmission object characteristics - Line Status, impedance, voltage  Magnitude, Bus Angle, etc.- between various study cases.

Assist in automating data extraction, web scraping, mapping, change-detection processes across all core interconnection projects.

Key Responsibilities

  • Extract, update and validate electrical topology, system study cases and GIQ data.
  • Parse regional queue applications, commercial operation dates, capacity values, resource types (solar, wind, storage, thermal) to maintain a unified data pipeline.
  • Identify opportunities to automate data ingestion from grid operator portals (e.g., PJM, MISO, CAISO, SPP, ERCOT) and improve workflow efficiency. Maintain a systematic repository of data issues, study case mismatches, queue record discrepancies assisting in their resolution.

Maintain and query backend databases that feed key operational dashboards, interconnection cost models and transmission analytics.

Required Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related technical discipline.
  • Proficiency in Python, SQL, or other programming languages used for data analysis and automation.
  • Strong analytical and problem-solving skills with the ability to interpret and organize complex datasets.
  • Prefer general understanding of electric grid fundamentals, power systems, ISO/RTO interconnection processes or transmission planning concepts.
  • Experience working with Microsoft Excel and data management tools. Effective written and verbal communication skills.
  • Familiarity with relational databases and data transformation techniques. Ability to collect, clean, validate, and organize data from multiple sources. Strong attention to detail and commitment to data accuracy.
  • Ability to work independently while collaborating in a team environment.

Preferred Qualifications

  • Coursework or experience in electric power systems, transmission planning, data standardization, automation, or energy markets.
  • Experience with data analysis libraries such as Pandas, NumPy, or similar tools.
  • Familiarity with GIS, spatial data, or mapping tools.
  • Knowledge of power system modeling software such as PSSE/TARA, PROBE, or similar applications.
  • Understanding electric transmission networks or utility operations.
  • Experience with SQL databases and ETL (Extract, Transform, Load) processes.
  • Experience developing scripts or automating repetitive data processing tasks.
  • Familiarity with version control on large databases.
  • Experience creating dashboards or reports using Power BI, Tableau, or similar visualization tools.
  • Previous internship, research, or project experience in the energy, utility, or renewable energy industry.

Equal Opportunity Employer Statement

Arevon is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We encourage candidates of all backgrounds to apply.

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