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Internship Python Pandas Jobs in Mountain View, CA

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$110 - $160/hr

... or internships. * Strong SQL skills and experience working with data warehouse systems such as ... Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy). * Experience ...

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Internship Python Pandas information

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How much do internship python pandas jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship python pandas in Mountain View, CA is $69.15, according to ZipRecruiter salary data. Most workers in this role earn between $57.02 and $78.56 per hour, depending on experience, location, and employer.

What is an internship Python Pandas?

Internship Python Pandas positions are entry-level roles designed for students or recent graduates to gain hands-on experience working with Python and the Pandas library. These internships typically involve tasks like data cleaning, analysis, and manipulation using Pandas, often within the context of real-world projects. Interns may work on data-driven applications or support teams in preparing datasets for machine learning or business intelligence. These roles help interns build practical skills in data science and software development, and often serve as a stepping stone to more advanced roles in the tech industry.

What types of projects and tasks can I expect to work on during a Python Pandas internship?

As a Python Pandas intern, you will typically work on data-driven projects such as data cleaning, transformation, analysis, and visualization. You might assist in preparing datasets for machine learning models, generating reports, or automating data workflows using Pandas and related libraries. Interns often collaborate with data scientists or analysts, gaining hands-on experience with real-world datasets and contributing to team objectives. This role offers a supportive environment to develop technical skills and learn industry best practices while making a meaningful impact.

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

To thrive in a Python Pandas internship, you need a solid understanding of Python programming, data manipulation, and familiarity with the Pandas library, often supported by coursework or personal projects in data analysis. Experience with tools such as Jupyter Notebook, NumPy, and version control systems like Git is commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly will help you stand out. These skills and qualities are crucial for efficiently handling real-world datasets, contributing to team projects, and delivering actionable insights.

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

AspectInternship Python PandasData Analyst
Required SkillsPython, Pandas, basic data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentInternship, entry-level, training-focusedFull-time, professional setting, project-driven
Industry UsageLearning phase, supporting data tasksInterpreting data, reporting, decision-making

Internship Python Pandas roles focus on learning and supporting data tasks using Python and Pandas, often as entry-level positions. Data Analysts have broader responsibilities, including interpreting data, creating reports, and making data-driven decisions. While both roles require some overlapping skills, Data Analysts typically have more experience and a wider skill set.

What are popular job titles related to Internship Python Pandas jobs in Mountain View, CA?

For Internship Python Pandas jobs in Mountain View, CA, the most frequently searched job titles are:

What job categories do people searching Internship Python Pandas jobs in Mountain View, CA look for?

The top searched job categories for Internship Python Pandas jobs in Mountain View, CA are:

What cities near Mountain View, CA are hiring for Internship Python Pandas jobs?

Cities near Mountain View, CA with the most Internship Python Pandas job openings:

Internship Python Pandas jobs near you
Infographic showing various Internship Python Pandas job openings in Mountain View, CA as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $143,841 per year, or $69.2 per hour.

Associate Data Scientist

Hayden AI

San Francisco, CA • On-site

$110 - $160/hr

Other

Re-posted 16 days ago

Job description

About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

Job Summary:

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you’ll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.

Responsibilities:

  • Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs

  • Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback

  • Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.

  • Serve as first responder for data discrepancy and freshness issues.

  • Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.

  • Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.

  • Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.

  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

  • Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.

  • 6+ months of Data Science related work, projects or internships.

  • Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.

  • Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).

  • Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.

  • Experience building and maintaining dashboards in BI tools such as Tableau or Looker.

  • Solid understanding of descriptive statistics and ability to interpret analytical results.

  • Strong communication skills with the ability to present findings to both technical and business audiences.

Preferred Qualifications:

  • Previous experience working with geospatial analytics and spatial datasets.

  • Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).

  • Experience with Grafana or similar operational monitoring tools.

  • Exposure to cloud platforms, especially AWS.

  • Prior experience in a startup environment and a desire to make a significant impact.

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