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Python Data Science Jobs in Austin, TX (NOW HIRING)

AgileEngine

Data Scientist ID71658

Austin, TX · On-site +1

The role requires 6+ years of data science experience applied specifically to cybersecurity ... in Python , R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ...

Micron

Staff Data Scientist

Austin, TX

Working knowledge of core data science and AI/ML tools, including Python libraries such as pandas, NumPy, and scikit-learn, with hands-on experience in Snowflake,Streamlit, and modern AI/ML ...

SynergisticIT

Python Developer - (Entry Level)

Austin, TX · On-site

$49.75 - $68.50/hr

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS ... Python, Computer Vision, data visualization tools Preferred skills: NLP, Text mining, Tableau ...

Meta

Director, Marketing Data Science

Austin, TX

$253K/yr

Director, Marketing Data Science Responsibilities: * Lead Measurement & Analytics: Oversee the ... Python), and statistical/mathematical software (e.g. R) * Experience leading the building of ...

Abbott

Senior Data Scientist

Austin, TX

... science principles to create concepts, develop prototypes, and generate insights from commercial data * Analytical skills with a solid foundation in programming (R, SAS, Python, SQL, NoSQL ...

Sustainment

Data Scientist

Austin, TX · On-site

Secret or Top Secret security clearance * 4+ years of experience in Data Science, Applied ML, Analytics, or a related data-focused role * Strong proficiency in Python and SQL * Demonstrated ...

Charles Schwab Inc.

AI & Data Scientist

Austin, TX · On-site

$100K - $140K/yr

Schwab's AI & Data Science organization is a centralized hub for delivering innovative production ... Proficiency in Python and software engineering methodologies * Exposure to cloud platforms (GCP ...

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How much do python data science jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for python data science in Austin, TX is $58.09, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $65.96 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a data scientist do with Python?

A data scientist uses Python to analyze and interpret large datasets, develop machine learning models, and create data visualizations. They utilize libraries like pandas, scikit-learn, and matplotlib to extract insights and support data-driven decision-making.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and programming. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to command higher salaries.
What are the most commonly searched types of Python Data Science jobs in Austin, TX? The most popular types of Python Data Science jobs in Austin, TX are:
What are popular job titles related to Python Data Science jobs in Austin, TX? For Python Data Science jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Austin, TX look for? The top searched job categories for Python Data Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Python Data Science jobs? Cities near Austin, TX with the most Python Data Science job openings:
Python Data Science jobs near you
Infographic showing various Python Data Science job openings in Austin, TX as of June 2026, with employment types broken down into 4% As Needed, 47% Full Time, 45% Part Time, 2% Contract, and 2% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $120,832 per year, or $58.1 per hour.
Data Scientist ID71658

Data Scientist ID71658

AgileEngine

Austin, TX • On-site, Remote

Full-time

Posted 9 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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