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Python Pandas Jobs in California (NOW HIRING)

Evolver

Senior GenAI Engineer (Python)

Palo Alto, CA · Hybrid

$142K - $192K/yr

Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. * Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure ...

Evolver

Senior GenAI Engineer (Python)

Palo Alto, CA · Hybrid

$143K - $192K/yr

Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. * Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure ...

Evolver

Senior GenAI Engineer (Python)

Palo Alto, CA · On-site

$142K - $192K/yr

Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. * Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure ...

E Ink

Intern - Polymer Characterization

Fremont, CA

$30 - $40/hr

Develop robust Python workflows (pandas, numpy, matplotlib, etc.) for automated data cleaning, transformation, structuring, and analysis. * Build data-quality and validation checks to identify ...

E Ink

Intern - Polymer Characterization

Fremont, CA · On-site

$30 - $40/hr

Develop robust Python workflows (pandas, numpy, matplotlib, etc.) for automated data cleaning, transformation, structuring, and analysis. * Build data-quality and validation checks to identify ...

IXL Learning

Customer Data Specialist

San Mateo, CA · On-site

$70K - $90K/yr

Proficiency in Excel or Google Sheets; experience with Python (pandas, numpy, matplotlib) is a plus * Excellent written and verbal communication, and proven ability to collaborate cross-functionally

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How much do python pandas jobs pay per hour?

As of Jun 15, 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 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 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 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? The top searched job categories for Python Pandas jobs in California are:
What cities in California are hiring for Python Pandas jobs? Cities in California with the most Python Pandas job openings:
Python Pandas jobs near you
Infographic showing various Python Pandas job openings in California as of June 2026, with employment types broken down into 10% Internship, 60% Full Time, and 30% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.
Manager, Channel Growth - Cards

Manager, Channel Growth - Cards

Upgrade

San Francisco, CA

$140K - $180K/yr

Other

Medical, Dental, Vision, PTO

Posted 26 days ago

Job description

About the Role

We're seeking a hands-on Channel Growth Manager/Sr. Manager on our Card business team to grow and optimize digital acquisition channels (ex. Upgrade.com, Experian Marketplace, or NerdWallet) by driving strategy development and execution for digital channels. You will sit at the intersection of marketing, product, analytics, and risk. You'll use in-market results and business judgement to identify enhancements and optimizations, partner internally and externally to advocate for changes, and communicate results and proposals to a broad set of stakeholders.

This role will be based in our SF office or Delaware office in a hybrid capacity.

What You'll Do:

  • Structure, perform, and communicate analyses
  • Build, implement, and monitor strategies for sustainable growth
  • Partner cross-functionally to drive buy-in
  • Manage partner relationships and projects to grow those relationships
  • Build a strong understanding of channels you manage
  • Identify new opportunities for impression growth and conversion efficiency
  • Identify and execute changes to improve customer acquisition costs 
  • Identify channel-specific opportunities to improve accuracy of volume and financial forecasts
  • Inform executive stakeholders on campaign results and expectations 
  • Identify new product versions, marketing language and tactics, and populations for testing and piloting
  • Manage approval rates to ensure funnel efficiency and compliance
  • Design, advocate for, and monitor A/B tests

What We Look For:

  • 4-7 years of experience in consumer finance, consulting, or other data-driven backgrounds
  • Experience with credit, analytics, and external client/partner interactions, ideally in credit cards
  • Strong analytical skills with the ability to translate data into clear, strategic recommendations
  • Strong proficiency in SQL, Excel (bonus points for Python pandas)
  • The ability to identify and articulate the human story in the data

What We Offer You: 

  • Competitive salary and stock option plan
  • 100% paid coverage of medical, dental and vision insurance 
  • Flexible PTO
  • Opportunities for professional growth and development 
  • Paid parental leave
  • Health & wellness initiatives

The compensation range of this position in San Francisco, CA is USD $140,000 - $180,000 annually plus equity and benefits. Please note that the actual base pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience.

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