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Scientist Python Jobs in Austin, TX (NOW HIRING)

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

Familiarity with statistical methods or programming (e.g., Python, R) * 5+ years of experience in clinical research or scientific roles within medical devices or related fields * Strong analytical ...

Familiarity with statistical methods or programming (e.g., Python, R) * 5+ years of experience in clinical research or scientific roles within medical devices or related fields * Strong analytical ...

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... Strong proficiency in Python or R, including relevant ML libraries * Expertise in SQL and ...

... Python and ML frameworks such as PyTorch, TensorFlow, or JAX • Experience building datasets ... Science, Engineering, Mathematics, or a related field Preferred : • Master's or PhD in Machine ...

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... Strong proficiency in Python or R, including relevant ML libraries * Expertise in SQL and ...

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Scientist Python information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do scientist python jobs pay per year?

As of Jun 8, 2026, the average yearly pay for scientist python in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

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

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What cities near Austin, TX are hiring for Scientist Python jobs? Cities near Austin, TX with the most Scientist Python job openings:
Infographic showing various Scientist Python job openings in Austin, TX as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.
Software Engineer (Python) - Supply Chain Integration

Software Engineer (Python) - Supply Chain Integration

Apple

Austin, TX

Full-time

Posted 20 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

At Apple, new ideas quickly transform into groundbreaking products, services, and customer experiences. Bring passion and dedication to your work, and there’s no telling what can be accomplished.
As part of the Supply Chain Innovation team, you will play a pivotal role in building end-to-end, best-in-class software solutions for Apple’s Supply Chain needs, ranging from Supply Planning and Demand Planning to Product Distribution and beyond. You will collaborate with various internal collaborators to define and implement solutions that optimize Apple’s internal business processes.
Description
The ideal candidate excels in collaborative environments, produces high-quality software under tight deadlines, and works independently while collaborating effectively with multi-functional teams globally (US, Singapore, India, & Europe). This role impacts Apple’s business, requiring interaction with internal teams to deliver innovative products in a dynamic environment.","responsibilities":"Design, develop, and optimize highly scalable, distributed systems, using cloud-native technologies and microservices architecture to build scalable, robust and resilient solutions.
Lead proof-of-concept projects and pilot implementations to showcase new ideas.
Strive for excellence by continuously seeking ways to enhance system reliability, performance, and security.
Contribute to design and code reviews, and assist in debugging and resolving issues.
Develop system components and take full responsibility for the timely delivery and quality of the work.
Collaborate with product owners, developers, QA, support teams, contractors and end users with minimal direction.
Mentor and guide a team of engineers, fostering a culture of innovation and excellence.
Occasionally, will need to handle application production (warranty) support.
Preferred Qualifications
Proficiency in cloud development and deployment using platforms such as AWS, Google Cloud Platform (GCP), etc., including services related to compute, storage, data processing, and managed database solutions.
Development experience with containerization and orchestration systems, specifically Docker and Kubernetes, for scalable deployment of applications and data pipelines.
Strong background in database modeling, design, and management for both SQL and NoSQL databases, and proficiency with Object-Relational Mappers (ORMs), along with exposure to caching technologies such as Redis, and workflow orchestration tools such as Apache Airflow.
Experience in AI/ML, particularly in working with Large Language Models (LLMs), Agentic AI systems, prompt engineering, and Retrieval-Augmented Generation (RAG) techniques, to enhance data-driven decision making, automation, or user interaction.
Understanding of supply chain management processes, including demand planning, inventory management, logistics, and order fulfillment with experience in developing applications for the Supply Chain business domain.
Minimum Qualifications
Bachelor's / Master’s degree in Computer Science or related field.
Minimum 4 years of professional experience in software development using Python, with a consistent track record in designing, developing, and maintaining RESTful APIs using frameworks like FastAPI, Django REST Framework, or Flask.
Proficient in data manipulation, analysis, and processing with libraries like Pandas, NumPy, and Polars, enabling efficient handling of large datasets and complex transformations.
Experience with distributed computing frameworks like PySpark, Celery, or Dask.
Experience with design patterns, enterprise architecture, software engineering principles, and modern Python development practices, including writing and performing comprehensive unit/integration tests for robust and maintainable web applications.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976