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Python Pandas Jobs in California (NOW HIRING)

Apple

ML Safety Engineer

San Francisco, CA

$184K - $277K/yr

Proficiency in Python (pandas, NumPy, Jupyter, PyTorch, etc.). Experience working with large datasets, annotation tools, and model evaluation pipelines Familiarity with evaluations specific to ...

Dellfor Technologies

Python Developer

California City, CA · On-site

$60K/yr

... Pandas proficient in regular expressions and data cleanup and clensing of high volume data Following skills are a big plus: Experience in building and running python modules in spark environment good ...

Mercor

Data Science Expert - AI/ML

San Francisco, CA · Remote

$60 - $90/hr

Proficiency in Python (pandas, NumPy ) and Git . * Strong data-analysis skills: data cleaning, statistical correlation, hypothesis testing, and result interpretation. * Ability to communicate ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

Strong programming skills in Python (pandas, numpy, scikit‑learn). * Experience working with large-scale data processing . Solid understanding of machine learning algorithms and statistical ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA

Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. * Familiarity with fundamental concepts in data structures and algorithms. * Preferred: * Experience with LLMs from ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. * Familiarity with fundamental concepts in data structures and algorithms. * Preferred: * Experience with LLMs from ...

Odesus

Manager of Data Science

Burbank, CA · On-site

$67.31/hr

Maintain, validate, and extend existing forecasting, pricing, and windowing models built in Python (pandas, scikit-learn, statsmodels) and SQL against Snowflake. * Write clean, reproducible, version ...

Hop

Applied Data Scientist

San Francisco, CA

Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL. * Demonstrated track record of shipping models into production, not just producing analysis. * Experience with ...

Hop

Applied Data Scientist

San Francisco, CA

Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL. Demonstrated track record of shipping models into production, not just producing analysis. Experience with embedding ...

TSMC

Senior Data Engineer / Data Curator

San Jose, CA · On-site

$124K - $168K/yr

... Python (Pandas, NumPy) and SQL for data manipulation and querying. • Familiarity with cloud-based data storage (AWS S3, Google Cloud Storage, etc.) and distributed systems for managing large ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

Required : • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. • Familiarity ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

Required : • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. • Familiarity ...

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How much do python pandas jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for python pandas in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is a Python Pandas job?

A Python Pandas job involves working with the Pandas library to manipulate, analyze, and visualize data efficiently. Professionals in these roles typically clean and preprocess datasets, perform exploratory data analysis (EDA), and generate insights for decision-making. They are commonly found in data science, analytics, and engineering fields, often working with big data, automation, or business intelligence tools. Strong knowledge of Python, SQL, and data visualization libraries like Matplotlib or Seaborn may also be required.

What are the main responsibilities for professionals working with Python Pandas in a data-driven role?

Professionals specializing in Python Pandas are typically responsible for cleaning, transforming, and analyzing large datasets to support business decisions. They collaborate closely with data scientists, analysts, and stakeholders to create data models, generate reports, and provide insights that guide strategy. Daily tasks may include scripting data pipelines, troubleshooting data issues, and presenting findings in an accessible format. This role often provides opportunities for growth into senior analyst, data engineering, or data science positions, especially as you gain experience in advanced analytics or machine learning applications.

What are the key skills and qualifications needed to thrive in the Python Pandas position, and why are they important?

To thrive in a Python Pandas role, you need strong expertise in Python programming, data manipulation, and analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Jupyter Notebook, SQL databases, and data visualization libraries, as well as certifications in data analytics or Python, are common. Excellent problem-solving skills, attention to detail, and the ability to communicate findings clearly make candidates stand out. These skills ensure you can efficiently handle complex datasets, derive actionable insights, and effectively collaborate with data teams.

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

The most popular types of Python Pandas jobs in California are:

What are popular job titles related to Python Pandas jobs in California?

For Python Pandas jobs in California, the most frequently searched job titles are:

What job categories do people searching Python Pandas jobs in California look for?

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Python Pandas jobs near you
Infographic showing various Python Pandas job openings in California as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Algorithm Development (Quant Research & Trading) PhD Internship - Summer 2027

Hudson River Trading

London, CA • On-site

Full-time, Temporary, Internship

Re-posted 4 days ago

Job description

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development summer internship program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies.

We trade on more than 200 markets around the world, across a variety of time horizons - offering ample opportunities to explore innovative, self-guided research and make a big impact on our business. Through this internship, you'll have the opportunity to rotate across teams, learning and collaborating alongside researchers and technologists that apply their passion and expertise to solving the most nuanced problems in our industry. 

What to Expect

  • Use advanced research experience and expertise to apply academic research to impactful real-world problems in trading across time horizons and machine learning strategies
  • Leverage our proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis
  • Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets
  • Utilize our industry-leading compute cluster to run simulations and crunch data
  • Build predictive models for financial markets using a combination of market and non-market data
  • Attend and participate in Tech Talks that provide an overview of markets and HRT's trading philosophy
  • Enjoy a curriculum of speakers, trading games, mentorships, and social events throughout the summer

Qualifications

  • You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, operations research, machine learning etc.)
  • Fluency in Python is a must
  • Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
  • You're excited to apply your research expertise to identify new opportunities in worldwide markets  
    Strong communication skills

We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.

New York: Weekly base salary of 5,800 USD
Singapore: Weekly base salary of 7,650 SGD
London: Weekly base salary of 4,350 GBP

Apply