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Hourly Python Data Science Jobs in Santa Clara, CA

Adobe, Inc.

Sr. Manager, People Data Science

San Jose, CA · On-site

$161K - $303K/yr

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Adobe

Sr. Manager, People Data Science

San Jose, CA

$161K - $303K/yr

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Visa

Sr. Manager, Data Science

Foster City, CA · On-site

Analyze large and complex datasets using Python, SQL, Spark, Hive, R, or similar tools to generate ... data science, or related experience with a Bachelor's degree; 4+ years with a Master's/MBA; or 3+ ...

Visa

Sr. Manager, Data Science

Foster City, CA · On-site

Analyze large and complex datasets using Python, SQL, Spark, Hive, R, or similar tools to generate ... data science, or related experience with a Bachelor's degree; 4+ years with a Master's/MBA; or 3+ ...

Aven

Data Scientist

Campbell, CA · On-site

Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science ... Expert knowledge of a scientific computing language (such as R or Python) and SQL * Theoretical and ...

Adobe

Data Science Engineer

San Jose, CA · On-site

$134K - $161K/yr

Proven hands - on experience in Python/PySpark/Scala and ability to manipulate data using Pandas ... scientists and machine learning engineers daily. Nice to have * Showcase your work if you are an ...

eBay

Data Science - Analyst 4

San Jose, CA · On-site

... data science, analytics, or a related quantitative role, with a track record of independently ... of Python or R • Experience in product analytics, experimentation, A/B testing, and causal ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Strong command of languages like Python, R, and SQL for data manipulation and model development ... Provides hands-on execution and implementation of data science models. * Translates business ...

Adobe, Inc.

Data Science Engineer

San Jose, CA · On-site

$134K - $161K/yr

Proven hands - on experience in Python/PySpark/Scala and ability to manipulate data using Pandas ... scientists and machine learning engineers daily. Nice to have * Showcase your work if you are an ...

Meta

Director, Marketing Data Science

Menlo Park, CA

$253K/yr

Python), and statistical/mathematical software (e.g. R) * Experience leading the building of ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

Apple

Data Scientist

Cupertino, CA

$144K - $263K/yr

As Data Science organization, our goal is to harness the power of user data to help Maps make great ... scalable tools (typically in Python or Scala) to drive hypothesis generation and support ...

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All JobsHourly Python Data Science JobsHourly Python Data Science Jobs in Santa Clara, CA

Hourly Python Data Science information

See Santa Clara, CA salary details

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$68

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How much do hourly python data science jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for hourly python data science in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

What is the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What are Hourly Python Data Science jobs?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What are some common challenges faced by hourly Python Data Science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What are the key skills and qualifications needed to thrive as an Hourly Python Data Science professional, and why are they important?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.
What are the most commonly searched types of Python Data Science jobs in Santa Clara, CA? The most popular types of Python Data Science jobs in Santa Clara, CA are:
What are popular job titles related to Hourly Python Data Science jobs in Santa Clara, CA? For Hourly Python Data Science jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Hourly Python Data Science jobs in Santa Clara, CA look for? The top searched job categories for Hourly Python Data Science jobs in Santa Clara, CA are:
Hourly Python Data Science jobs near you
Infographic showing various Hourly Python Data Science job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $143,202 per year, or $68.8 per hour.
Data Scientist

Data Scientist

SPECTRAFORCE TECHNOLOGIES Inc.

San Ramon, CA • On-site

Other

Posted yesterday

Job description

Data Scientist
San Ramon, CA(Hybrid : 1-2 days in a week)
12 months
****In-person Interview is required****
*LOCAL CANDIDATES ONLY** will need to be able to travel to our local bay area office locations. The role is Hybrid - 20% will be once a week reporting but not limited to Dublin innovation or Bay Area office.
 
Interview Readiness :Please only submit candidates that are avaliable for interviews in-person within 2 weeks from when application is submitted. All interviews will be in-person no exceptions.
EQUIPMENT:
- Due to current lead times and backlog, contractor will need to furnish equipment for Citrix access.Client Laptop will be provided approximately 4-8 weeks from start date.
- PPE will on as needed basis and will be reimbursed through expense process with prior  Manager approval
 
TOP THINGS:
Machine Learning & Algorithms:
  • Hands-on experience building and deploying ML models for real world applications.
  • Understanding of model evaluation, optimization, and feature engineering
Mathematics & Statistics:
  • Solid foundation in probability, linear algebra, calculus, and statistical inference.
Programming Proficiency:
  • Strong command of languages like Python, R, and SQL for data manipulation and model development.
Presentation Skills:
  • Provide insights in clear and concise manner for upper management review through various mediums such as graphics, power point presentations, dashboards, etc
Domain Knowledge (Additional Desired Skills)
  • Understanding of Utility data, has industry context, project management methodologies, Foundry experience.
Position Summary: We are seeking an experienced Data Scientist who will provide strong execution and delivery of data science. Working as a part of the Electric Operations Excellence Team, this Data Scientist will translate business needs into advanced analytics and machine learning models. The successful candidate will be responsible for model selection and identification of appropriate training data sets; building, training, and evaluating models; and delivering results to the business on a regular cadence. This role will work alongside a product owner, technical lead, and with internal stakeholders, process owners to support delivery of high-value analytics machine learning models to derive key insights for execution of the work within Electric Operations.
Position Responsibilities:
  • Leads development of high complexity models and training sets
  • Provides hands-on execution and implementation of data science models
  • Translates business analysis needs into well-defined data science problems, and selecting appropriate models and algorithms and communicates model evaluation and implications of results back to stakeholders
  • Recognizes and prioritizes the most important work related to data science models to achieve highest operational impact for analytics in the business
  • Balances tradeoffs among analytics value, model development methods and design and technologies used to implement data science models with a bias toward action
  • Performs collaborative work on data science problems and mentor junior data scientists
  • Creates shared process models, business objects, activity diagrams and process documentation to effectively articulate multiple views of the business solutions that support technical architecture.
  • Manages development of quantitative models and tools.
  • Collaborates with leaders, other LOBs, and business partners to work on issues, projects or activities.
  • Develops new or revises complex models to predict business demand trends, and volume and expenditures forecasts capacity analysis, and various other metrics to identify potential opportunities.
  • Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
  • Partners with leaders to drive high performance in their lines of business.
  • Develop deep understanding of business drivers and financial levers to provide strategic decision support.
  • Oversees resolution of complex projects and programs.
  • Develops and maintains up-to-date detailed project schedules and work plans.
  • Performs analysis on complex data models requiring customized reports and data and presents recommendations.
  • Bachelor''s Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
  • Job-related experience, 8 years, OR Master
  • Degree and job-related experience, 6 years, OR Doctorate Degree and job-related experience, 3 years. Experience in data modeling, 5yrs
Desired Education / Skills:
  • PhD in engineering or a related field (computer science, natural sciences, mathematics)
  • Experience with Python, R, Scala, SQL
  • Experience developing solutions with Pandas/Scikit-learn, Spark or comparable technologies
  • Experience data science notebooks (Jupyter, Zeppelin or other)
  • Experience with AWS, Azure, cloud computing technologies
  • Scrum team experience
  • Energy industry experience
  • Experience designing efficient data science workflows and database architecture for data science purposes
  • Experience with forecasting, Bayesian networks, and graph analytics
  • Strong statistics experience
  • Experience with software development methodologies and software engineering principles
  • Knowledge of program management theories, concepts, methods, best practices, and techniques as needed to perform at the job level
  • Knowledge of relevant programming languages - for example Visual Basic, Ladder Logic,
  • Programmable Logic Controller, C, SharePoint, HTML, Java, Adobe - as needed to perform at the job level
  • Competency in knowing the most effective and efficient processes to get things done, with a focus on continuous improvement
  • Knowledge of principles, techniques, and procedures used for production and design of technology-based equipment and systems as needed to perform at the job level
  • Knowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job level
  • Ability to develop reports, models, and simulations as needed to perform at the job level
  • Competency in developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Knowledge of data model design philosophies and methodologies for data warehouse and OLTP systems

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