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Quant Python Remote Jobs in San Jose, CA (NOW HIRING)

Waymo

Data Scientist

Mountain View, CA · On-site +1

$170K - $216K/yr

... Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Data Scientist

San Francisco, CA · On-site +1

$170K - $216K/yr

... Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

... Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Senior Data Scientist

San Francisco, CA · On-site +1

$204K - $259K/yr

... Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

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All JobsQuant Python Remote JobsQuant Python Remote Jobs in San Jose, CA

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$68

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How much do quant python remote jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for quant python remote in San Jose, CA is $68.70, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $78.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quant Python Remote professional, and why are they important?

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What is a Quant Python Remote job?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

What is the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.
What are popular job titles related to Quant Python Remote jobs in San Jose, CA? For Quant Python Remote jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in San Jose, CA look for? The top searched job categories for Quant Python Remote jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Quant Python Remote jobs? Cities near San Jose, CA with the most Quant Python Remote job openings:
Quant Python Remote jobs near you
Senior Staff TLM, Data Mining and Sampling for ML and Evaluation

Senior Staff TLM, Data Mining and Sampling for ML and Evaluation

Waymo

San Francisco, CA • On-site, Remote

$281K - $356K/yr

Other

Posted 14 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data.In this hybrid role, you will report to a Senior Staff manager.

You will:

  • Develop tools for easy mining of novel situations that might impact safety from our driving logs for use in evaluation and ML datasets, using a mixture of ML and structured data
  • Advanced sampling techniques and tuning of simulations to get strong signal for metrics and models from our datasets
  • Build automation for our mining and sampling ecosystem so Waymo can rapidly scale to new cities
  • Make hands-on technical contributions to both engineering and data science-oriented projects
  • Provide strong management and technical leadership for a small team of data science-friendly engineers
  • Partner with leads and teams across Waymo to determine and execute on strategy, including product, engineering, data science, frontend, and backend

You have:

  • Strong engineering design and programming skills
  • Strong data fluency and analysis skills
  • Familiarity with statistical methods including hypothesis testing, experiment design, and sampling
  • Familiarity with foundational and contemporary ML concepts and practices
  • Experience managing teams of up to 8 people
  • BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or other quantitative area
  • 7+ years of industry experience with:
    • C++, SQL, and Python experience
    • Navigating and modifying a large code base containing C++, SQL, and Python
    • Building data processing pipelines

We prefer:

  • Eval experience, such as building and validating metrics to measure quality in complex systems
  • Strong statistical background (MSc-level stats or similar expertise from work experience)
  • Strong ML background (MSc-level ML or similar expertise from work experience)
  • Experience working in the AV industry and/or with simulations

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$281,000—$356,000 USD

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