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Python Analytics Jobs in California (NOW HIRING)

Python Developer

Irvine, CA · On-site

$54 - $74.25/hr

Predictive Analysis using iONA needed. We need to add 2 resources to implement some of the advanced features (Predictive Analysis using iONA). It is AIML resource with Python programming experience.

Python Developer

Newport Beach, CA · On-site

$54 - $74.25/hr

Newport Beach, CA JOB SUMMARY Client PM-Analytics Development provides solutions for the fixed ... Python, C#, WPF, IIS, Telerik, Oracle, Bloomberg SAPI/BPIPE, Excel, REST/JSON, AMPS, GitLab

Python Developer

Santa Clara, CA · On-site

$58.50 - $80.75/hr

Python Developer Location: Bellevue, WA/ Santa Clara, CA (Onsite day 1) Duration: Contract/Fulltime ... analytics) * 2+ years of design, implementation, or consulting experience in applications or ...

Python Developer

Sunnyvale, CA · On-site

$60 - $82.50/hr

* Seasoned Python programmer with extensive knowledge in Django ORM framework and cloud technologies ... Analyze requirements to ensure a compliant and secure infrastructure in cloud. * Managing and ...

Python Developer

Sunnyvale, CA · On-site

$59.75 - $82.50/hr

Job Title Seasoned Python programmer with extensive knowledge in Django ORM framework and cloud ... Analyze requirements to ensure a compliant and secure infrastructure in cloud. Managing and scaling ...

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Analyzing business requirements and designing, programming, unit testing and documenting to support ... Python (Async), AWS and SQL. * Required Education and Training (As applicable - Specific education ...

Python Developer

Rosemead, CA · On-site

$51.25 - $70.75/hr

Python Developer Location: Rosemead, CA Python, PySpark, and SQL, Strong data engineering ... Support analytics, operational dashboards, and downstream AIML use cases. * Monitor, troubleshoot ...

Python Developer

Fremont, CA · On-site

$55 - $75.75/hr

... an analytics data platform based on a hybrid cloud infrastructure. • Work collaboratively with our Data Engineering team to engineer custom solutions when required. • Participate and provide ...

python developer

San Jose, CA · On-site

$59 - $81.25/hr

... python programming, knowledge of C/C++ and shell scripts will be a plus 4. Strong and proven experience in front-end development using HTML, CSS, JavaScript, JQuery, etc. 5. Experience with multi ...

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Analyzing business requirements and designing, programming, unit testing and documenting to ... Python (Async), AWS and SQL. * Required Education and Training (As applicable - Specific education ...

Python Developer

San Jose, CA

$59 - $81.25/hr

Our company provides application analysis, design, development and programming, software ... The Python Developer will create web applications using primarily Python * Work closely with our ...

IOT Python Developer

Fremont, CA · On-site

$55 - $75.75/hr

- 4+ years as a senior Python developer - Broad experience with the Python libraries - Development of data conversion and data aggregation code as part of a statistical analysis solution - Experience ...

Python/ Django + SQL Engineer

San Francisco, CA · On-site

$59.25 - $81.50/hr

You will work with a team to build an analytics and metrics platform using Python and common web ... technologies utilizing HTML, CSS and JavaScript. Our datastore is based on MongoDB and SQL, hence ...

Python Developer

San Francisco, CA · On-site

$59.25 - $81.50/hr

About the job Python Developer Location: San Francisco, Bangalore Mode of Work: Remote/Hybrid Brief ... Analytical and problem-solving mindset with a strong attention to detail. * Proactive, self-driven ...

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Showing results 1-20

Python Analytics information

What is the salary of a Python analyst?

The salary of a Python analyst typically ranges from $60,000 to $110,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and Jupyter Notebook tend to earn higher salaries.

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

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

Can I be a data analyst in 3 months?

Becoming a data analyst with a focus on Python typically requires several months of dedicated learning, including skills in data manipulation, visualization, and tools like pandas and SQL. While some individuals may acquire foundational skills in three months, gaining proficiency for a professional role usually takes longer and depends on prior experience and learning pace.

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.

Is Python still in demand?

Python analytics roles remain highly in demand due to Python's versatility in data analysis, machine learning, and automation. Employers seek professionals skilled in libraries like Pandas, NumPy, and frameworks such as TensorFlow, often requiring proficiency in data visualization and scripting. Staying updated with Python versions and related tools enhances job prospects in this field.

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.
What job categories do people searching Python Analytics jobs in California look for? The top searched job categories for Python Analytics jobs in California are:
What cities in California are hiring for Python Analytics jobs? Cities in California with the most Python Analytics job openings:

Python Developer

Omni Inclusive

Irvine, CA • On-site

$54 - $74.25/hr

Other

Posted 17 days ago


Job description

AI/ML Resource With Python Programming Experience

Should have proven projects on upcoming technologies like AI Client and strong hands on Python. Predictive Analysis using iONA needed. We need to add 2 resources to implement some of the advanced features (Predictive Analysis using iONA). It is AIML resource with Python programming experience. Minimum 5-8 years of experience in Python. Strong in Data science and Machine Learning, must know time series algorithms, Anomalies detection and prediction algorithms like Random Forest isolation, LSTM, etc. Strong understanding of frameworks like BERT, GPT or transformer models, Supervised and unsupervised client techniques, frameworks like TensorFlow, PyTorch, etc. Experience with cloud platforms, experience with MLOPS, basic knowledge of deep learning and neural networks.

(1.) To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.

(2.) To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization, implementation of best practices and coding standards to ensure successful delivery of complex projects.

(3.) To ensure process compliance in the assigned module, and participate in technical discussions or review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).

(4.) To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure and closure of escalations.