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Python Data Analysis Internship Jobs in Berkeley, CA

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform ... Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions ...

Perform Critical Data Analysis for a Broad Range of Stakeholders : Build analytics, and ... Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT. Pay Transparency The estimated ...

... Python, APIs, SQL/data extraction techniques, and Excel/VBA automation to build scalable workflows, improve data quality, perform trend analysis, and streamline complex business processes.

Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ... Ability to work with engineering teams using modern software practices (Python, data platforms ...

Senior Data Analyst

Alameda, CA · On-site

$99K - $125K/yr

Perform Critical Data Analysis for a Broad Range of Stakeholders : Build analytics, and ... SQL, BigQuery, Google Cloud Platform, Metabase, Python, DBT, Terraform, Snowflake

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Senior Data Analyst

San Francisco, CA · On-site

$101K - $127K/yr

Perform Critical Data Analysis for a Broad Range of Stakeholders : Build analytics, and ... SQL, BigQuery, Google Cloud Platform, Metabase, Python, DBT, Terraform, Snowflake

New

Senior Data Analyst

Hayward, CA · On-site

$98K - $124K/yr

Perform Critical Data Analysis for a Broad Range of Stakeholders : Build analytics, and ... SQL, BigQuery, Google Cloud Platform, Metabase, Python, DBT, Terraform, Snowflake

New

Operations Data Analyst

Oakland, CA · On-site

$77 - $82/hr

Hands-on experience using Foundry for data analysis, data modeling, or workflows. * Experience with Copperleaf. Skills: * Data analytics (Python, Excel, conduct data queries as needed). * Power BI ...

Senior Data Analyst

San Mateo, CA · On-site

$98K - $123K/yr

Perform Critical Data Analysis for a Broad Range of Stakeholders : Build analytics, and ... SQL, BigQuery, Google Cloud Platform, Metabase, Python, DBT, Terraform, Snowflake

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... such as Python or R. * Experience with data visualization tools (e.g., Tableau, Power BI) and SQL. * Solid understanding of machine learning algorithms and statistical analysis techniques.

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Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Python Proficiency : Expertise in building data ingestion tools using Python, including web ... Analytics : Skilled in working with large datasets to generate complex analytics for actionable ...

Data Analyst II

San Francisco, CA · Hybrid

$93K - $117K/yr

Experience with Python for data analysis, automation, or scripting. * Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar). * Strong quantitative and ...

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Python Proficiency : Expertise in building data ingestion tools using Python, including web ... Analytics : Skilled in working with large datasets to generate complex analytics for actionable ...

Data Analysis * Machine Learning * Statistical Modeling * SQL * Python ATS Optimization KeywordsHard Skills * Data Analysis * Statistical Modeling * Machine Learning * Deep Learning * Forecasting

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Python Data Analysis Internship information

See Berkeley, CA salary details

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$51

How much do python data analysis internship jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for python data analysis internship in Berkeley, CA is $27.56, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $30.00 per hour, depending on experience, location, and employer.

What is a Python data analysis internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python data analysis intern?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

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

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

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

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
What job categories do people searching Python Data Analysis Internship jobs in Berkeley, CA look for? The top searched job categories for Python Data Analysis Internship jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Python Data Analysis Internship jobs? Cities near Berkeley, CA with the most Python Data Analysis Internship job openings:

Data Science Intern

Faire

San Francisco, CA

$75/hr

Internship

Re-posted 25 days ago


Job description

Data Science Internship - Fall 2026

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems - spanning search, personalization, recommendation, and ranking - that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Team

Search & Recommendation

  • Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
  • Develop rich user and item representations through embeddings, sequence models, and graph-based methods
  • Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
  • Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty
  • Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
  • Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

What You'll Do

  • Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
  • Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
  • Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

  • Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
  • Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
  • Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
  • Experience working with large-scale or production datasets

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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