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Hourly Python Data Science Jobs in California (NOW HIRING)

... Python, SQL, cloud platforms, and production ML tooling) • Demonstrated ability to lead in ... data science, machine learning, or applied AI in industry; 15+ years Preferred • 5+ years of ...

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch ... Established product data science roadmap aligned with business priorities; shipped at least one ...

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where ... Familiarity with modern data and ML ecosystems (Python, cloud platforms, MLOps frameworks, data ...

Experience contributing to a mature Python-centric code base. * Strong command of common data ... Experience with Agile software development The approximate hourly base compensation range is $31.00 ...

Senior Manager, Data Science

Hayward, CA · On-site

$143K - $286K/yr

Proficiency with Python, SQL, and modern data science ecosystems. * Experience deploying and operationalizing machine learning solutions in production environments. * Demonstrated ability to ...

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Ability to write, review, and optimize Python and SQL code * Deep understanding of Large Language ...

**About the Role**We're looking for a data scientist to join our InsurTech Data Science team under ... Advanced proficiency in SQL3 Proficiency with Python or R4. Familiarity with experimental design (e ...

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Experience with Python programming and software development, including version control (Git ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Experience with Python programming and software development, including version control (Git ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

Proficiency with Python, SQL, and modern data science ecosystems. * Experience deploying and operationalizing machine learning solutions in production environments. * Demonstrated ability to ...

Senior Manager, Data Science

Milpitas, CA · On-site

$143K - $286K/yr

Proficiency with Python, SQL, and modern data science ecosystems. * Experience deploying and operationalizing machine learning solutions in production environments. * Demonstrated ability to ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Experience with Python programming and software development, including version control (Git ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

Proficiency with Python, SQL, and modern data science ecosystems. * Experience deploying and operationalizing machine learning solutions in production environments. * Demonstrated ability to ...

Proficiency with Python, SQL, and modern data science ecosystems. * Experience deploying and operationalizing machine learning solutions in production environments. * Demonstrated ability to ...

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Showing results 1-20

Hourly Python Data Science information

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 popular job titles related to Hourly Python Data Science jobs in California? For Hourly Python Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Hourly Python Data Science jobs in California look for? The top searched job categories for Hourly Python Data Science jobs in California are:

Director, Data Science

Rakuten Rewards

San Mateo, CA • On-site

Full-time

Posted 5 hours ago


Job description

Job Summary:
Rakuten Rewards is a division of Rakuten International, a Japanese global technology leader. They are seeking a Director of Data Science to lead their centralized data science organization, influence strategy, and drive execution of machine learning and generative AI initiatives that deliver measurable business impact.
Responsibilities:
• Lead and grow a high-performing centralized data science organization, including managing managers, hiring top talent, and fostering a strong, accountable culture
• Help shape data science strategy and prioritize initiatives based on feasibility and expected business outcomes
• Translate ambiguous business problems into clear, actionable AI and machine learning strategies
• Own problem framing, success metrics, and end to end accountability to ensure data science efforts translate into measurable business outcomes
• Serve as a trusted partner to senior leaders, clearly communicating strategy, trade‑offs, progress, and impact
• Own the end‑to‑end delivery and effectiveness of machine learning and generative AI solutions, ensuring successful progression from problem definition through production deployment, monitoring, and iteration.
• Set technical direction and quality standards for scalable ML, optimization, and GenAI systems that deliver measurable impact across domains such as campaign forecasting, campaign optimization, and member experience optimization
• Ensure solutions are production‑ready, observable, and continuously improved, with a strong focus on reliability and business effectiveness
• Strengthen best practices and technical standards for applied AI across the organization
• Partner with engineering and platform teams to improve foundations for production AI, including experimentation, evaluation, model monitoring, and scalable infrastructure
• Stay current with advances in ML and generative AI and guide thoughtful, pragmatic adoption of new capabilities.
Qualifications:
Required:
• Strong foundation in machine learning, statistical modeling, optimization, and/or AI systems
• Experience leading the deployment and scaling of models in production environments
• Familiarity with modern data and ML ecosystems (Python, SQL, cloud platforms, and production ML tooling)
• Demonstrated ability to lead in ambiguous environments and define strategy from first principles
• Strong communication skills with experience influencing senior stakeholders and cross-functional teams
• Ability to balance technical depth with business pragmatism
• 10+ years of experience in data science, machine learning, or applied AI in industry; 15+ years Preferred
• 5+ years of leadership experience, including managing managers and building scaled teams
• Proven track record of delivering measurable business impact through production-grade ML/AI systems
• Bachelor's Degree Required; Master's Degree Preferred
Preferred:
• Experience in e-commerce, ad-tech, marketing science, recommender systems, or related domains
• Experience integrating AI into customer-facing products and internal workflows
• Experience with LLM-based systems, retrieval-augmented generation (RAG), and evaluation of generative AI solutions
Company:
By championing smart ways to save at thousands of stores, Rakuten makes it easy to get a great deal—anytime, anywhere. Founded in 1998, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.