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Python Analytics Jobs in San Francisco, CA (NOW HIRING)

Astra

Sr Staff Python Engineer

Alameda, CA · On-site

They are seeking a Sr. Staff Python Engineer to develop software that automates testing and launching rockets, as well as tools for data collection and analysis in the space industry.

Ursus, Inc.

Python Engineer (5+ YOE)

Fremont, CA · On-site

Ursus, Inc. is seeking a Python Engineer proficient in AI technologies to develop advanced AI ... Ursus, Inc., has been recognized by Staffing Industry Analysts (SIA) for four consecutive years as ...

Astra

Sr Staff Python Engineer

Alameda, CA · On-site

The Sr. Staff Python Engineer will develop software to automate testing and launching rockets, build tools for data analysis, and contribute to innovative technologies in the space industry.

DigitalT3

Be Seen First

Senior GenAI Engineer (Python)

San Francisco, CA · On-site

$170K - $200K/yr

We are looking for an experienced Python developer with a passion for Generative AI and hands-on ... Analytical mindset with a strong focus on problem-solving. * Comfortable working in a fast-paced ...

Astra

Sr Staff Python Engineer

Alameda, CA · On-site

They are looking for a Sr. Staff Python Engineer to develop software that automates the testing and launching of rockets, as well as build tools for data collection and analysis in the space industry.

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Showing results 21-40

All JobsPython Analytics JobsPython Analytics Jobs in San Francisco, CA

Python Analytics information

See San Francisco, CA salary details

$15

$69

$101

How much do python analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for python analytics in San Francisco, CA is $69.07, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
What are popular job titles related to Python Analytics jobs in San Francisco, CA? For Python Analytics jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in San Francisco, CA look for? The top searched job categories for Python Analytics jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Python Analytics jobs? Cities near San Francisco, CA with the most Python Analytics job openings:
Python Analytics jobs near you

Python Software Engineer (Jr-Mid Level)

Stellar IT Solutions LLC

Fremont, CA • On-site

$45 - $50/hr

Contractor

Posted 9 days ago

Job description

Python Software Engineer (Jr-Mid Level)6 months, with potential extension or conversionFremont, CA — 5 days onsite Role Summary

We are seeking a junior to mid‑level Python Software Engineer (3-5 years experience) to design, build, and optimize data‑intensive applications and machine learning solutions. The ideal candidate will come from fast‑paced technology companies (Amazon, Google, Microsoft, PayPal, Uber, Airbnb, Doordash, Expedia, etc.) and have a concise resume highlighting hands‑on coding contributions, debugging, troubleshooting, and distributed systems experience.

This role requires strong engineering fundamentals, recent hands‑on development, and the ability to clearly articulate technical contributions.

Responsibilities

  • Design, develop, and deploy LLM‑powered and AI‑driven applications.

  • Build scalable, high‑performance solutions using Python and modern engineering practices.

  • Develop and maintain REST APIs and microservices supporting critical business operations.

  • Work with diverse data sources (text, voice, image, structured datasets).

  • Collaborate with cross‑functional teams to identify opportunities for automation and optimization.

  • Own production systems: monitoring, troubleshooting, and continuous improvement.

  • Translate ambiguous business requirements into end‑to‑end technical solutions.

  • Write clean, maintainable, and reusable code following agile practices.

Must‑Have Requirements

  • 3-5 years of professional software engineering experience.

  • Bachelor’s or Master’s in Computer Science, Engineering, or equivalent practical experience.

  • Strong hands‑on Python experience for data‑intensive and high‑performance applications.

  • Experience building and deploying production machine learning solutions.

  • Demonstrated work with Large Language Models (LLMs) and Generative AI.

  • Experience developing REST APIs and microservices.

  • Proficiency with MySQL and Redis.

  • Familiarity with at least one deep learning framework (PyTorch, TensorFlow, JAX).

  • Strong fundamentals in statistics, data analysis, model evaluation, and performance optimization.

  • Clear examples of debugging, troubleshooting, and distributed systems problem‑solving.

Nice‑to‑Have Qualifications

  • Experience with recommender systems, operations research, or advanced AI/ML solutions.

  • Building and supporting enterprise‑scale ML platforms.

  • Working with large, complex datasets in production environments.

  • Knowledge of C# and ASP.NET (secondary skill).

  • Prior experience automating compliance frameworks and generating audit evidence.