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Python Relocation Jobs in California (NOW HIRING)

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Senior GenAI Engineer (Python)

San Francisco, CA · On-site

$170K - $200K/yr

Bay Area / Palo Alto, California only (onsite), Candidates open to relocate to these areas are ... Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.

Emparty

SOFTWARE ENGINEER-PYTHON

Mountain View, CA

... in Python Working knowledge of Docker and Kubernetes Significant experience with Google Cloud ... At this time, Emparty is unable to provide relocation assistance or visa support. Emparty is ...

Emparty

SOFTWARE ENGINEER-PYTHON

Mountain View, CA · On-site

... in Python • Working knowledge of Docker and Kubernetes • Significant experience with Google ... At this time, Emparty is unable to provide relocation assistance or visa support. Emparty is ...

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How much do python relocation jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for python relocation 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 Relocation job?

A Python Relocation job refers to a position that requires Python programming skills and involves relocating to a different city or country. Employers may offer relocation assistance, including visa sponsorship, moving expenses, or temporary housing. These roles can be in various industries such as technology, finance, or data science.

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

To excel in a Python Relocation Specialist role, you need strong expertise in Python programming, data migration techniques, and experience with cloud platforms or system integrations, typically backed by a degree in computer science or related technical field. Familiarity with automated migration tools, version control systems like Git, and certifications such as AWS Certified Developer or Google Professional Cloud Developer are beneficial. Excellent problem-solving, project management, and clear communication skills are crucial soft skills for coordinating complex migrations and collaborating across teams. These competencies ensure smooth, efficient data or application relocations and minimize disruptions to business operations.

What are some common challenges faced by Python Relocation Specialists during migration projects?

Python Relocation Specialists often encounter challenges such as ensuring data integrity during large-scale transfers, managing compatibility issues between legacy and new systems, and minimizing downtime throughout the migration process. Addressing these obstacles typically requires thorough planning, rigorous testing, and collaboration with cross-functional teams like IT administrators and business stakeholders. Staying up-to-date with the latest migration tools and best practices can also help specialists anticipate and resolve potential issues more efficiently. Successful specialists proactively communicate with all parties involved to keep projects on track and ensure a seamless transition.

What are popular job titles related to Python Relocation jobs in California? For Python Relocation jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Relocation jobs in California look for? The top searched job categories for Python Relocation jobs in California are:
Python Relocation jobs near you
Infographic showing various Python Relocation job openings in California as of July 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Sr. Data Scientist, Monetization

Pinterest

San Francisco, CA • Hybrid

Other

Re-posted 15 days ago

Job description

We are looking for Data Scientists to join our Monetization Engineering organization. You will take end to end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's strategy in the Ads space.

What you'll do:

  • Deep strategic analysis to answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem?
  • Opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on ? Write clear, actionable analyses that help teams identify areas of improvement and investment.
  • Modeling: Build segmentation models to assess supply to inform pricing strategy.
  • Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
  • Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data, etc. by advertiser over time).
  • Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance.

What we're looking for:

  • Bachelor's/Master's degree in a relevant field such as Data Science, or equivalent experience
  • 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
  • Strong fundamentals in statistics, experimentation.
  • Domain knowledge in ecosystem, ads, or real-time-bidding.
  • Proven ability to apply scientific methods to solve real-world problems on web-scale data.
  • Proficiency in SQL/Hive/Python.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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