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Internship Python Data Science Jobs in Austin, TX

We are seeking a highly experienced Senior Marketing Data Science Leader to drive measurement ... Python), and statistical/mathematical software (e.g. R) • Experience leading the building of ...

Collaborate with stakeholders to align data science initiatives with organizational goals and ... Experience coding in Python or R. * Hands-on experience with data visualization platform like ...

... science work across the team. Qualifications : Required : • Master's degree or PhD in a ... Python and SQL in production analytics or machine learning environments. • Proven ability to ...

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

... 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 ...

Senior Data Scientist

Austin, TX · On-site

$78K - $156K/yr

The candidate will use data analytics and data science methods to provide solutions to a wide range ... Proficiency in SQL, Python, or other common analytics and reporting tools (e.g., Pandas, NumPy ...

Assure that data science projects effectively address businesses' long and short-term business ... Proficiency in SQL, Python, or other common analytics and reporting tools (e.g., Pandas, NumPy ...

Experience Range: 3+ years in CPG, FMCG, or retail analytics 8+ years in data science or applied ML roles Tech Stack * Hands-on Databricks experience in production * Strong Python - pandas, PySpark ...

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

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

As of May 31, 2026, the average hourly pay for internship python data science in Austin, TX is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

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

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

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 cities near Austin, TX are hiring for Internship Python Data Science jobs? Cities near Austin, TX with the most Internship Python Data Science job openings:
Director, Marketing Data Science

Director, Marketing Data Science

Meta

Austin, TX • On-site

$253K - $314K/yr

Full-time

Posted 2 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 184 rated software companies


Job description

We are seeking a highly experienced Senior Marketing Data Science Leader to drive measurement, analytics, and strategy across Corporate, Public Affairs, AI Marketing and Corporate Communications at Meta. This role is pivotal in supporting high-impact marketing campaigns, developing innovative measurement frameworks, and collaborating with executive leadership to optimize marketing effectiveness.
Responsibilities
Lead Measurement & Analytics: Oversee the measurement of campaigns, including AI Marketing, Corporate Marketing, and Public Affairs. Develop and refine high-frequency measurement models for real-time campaign optimization and reporting.
• Strategic Campaign Support: Partner with VPs and Directors to design, execute, and evaluate marketing campaigns across multiple regions and business units. Lead the development of holdout strategies and funnel analysis to validate campaign effectiveness.
• Innovation & Efficiency: Invent and implement new measurement programs to consolidate trackers, enhance efficiency, and optimize resource allocation.
• Cross-Functional Leadership: Operate with autonomy, managing a team of ~15 and collaborating with cross-functional partners in Product, Research, and Corporate Marketing. Support recruiting and interview process improvements for Marketing Data Science.
• Stakeholder Engagement: Serve as a direct report to the VP, Marketing Data Science, and engage with peers at the Director level. Present findings and recommendations to senior leadership, influencing strategic decisions.
• Community & Thought Leadership: Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies, and recruiting initiatives.
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience, Master's degree preferred
• 10+ years of work experience in data science or decision science (or 8+ years experience with a Ph.D.) supporting a Marketing function
• Advanced experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical software (e.g. R)
• Experience leading the building of statistical/computational tools in support of marketing functions
• Advanced knowledge of marketing analytics, survey design, and statistical methods
• Very comfortable personally using AI tools and transforming organizations to be AI-Native
• Strong leadership skills, with the ability to operate autonomously and manage cross-functional teams
• Excellent stakeholder management and communication skills, with experience presenting to executive leadership
Preferred Qualifications
• Previous experience in Public Affairs Marketing or Public Opinion Polling
• 3+ years in Corporate Communications Analytics (e.g. social listening)
• Expertise in high-frequency measurement models, campaign optimization, and real-time reporting
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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