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Political Data Science Jobs in Texas (NOW HIRING)

Civitech

Researcher (Contract)

Austin, TX · On-site +1

$15 - $18.50/hr

Experience working with political data * Proficiency with SQL and GIS Civitech's Values: * We act ... Our rigorous approach to product design, testing, and data science leads to accurate assessments of ...

Apple

Demographic Data Scientist

Austin, TX

Conduct data exploration on datasets, QA/QC, visualization, statistical and data analyses, and ... Political Science), Computer Science, Engineering, Statistics, Geographic Information Systems ...

Apple

Demographic Data Scientist

Austin, TX · On-site

... as a demographic data scientist focusing on human populations using statistics, computer ... Political Science), Computer Science, Engineering, Statistics, Geographic Information Systems ...

University of Maryland Global Campus

Industry Certifications in ML, AI, Data Science from Microsoft, IBM, AWS. Materials needed for ... ancestry, political affiliation or veteran status in employment, educational programs and ...

The University of Maryland Global Campus

Industry Certifications in ML, AI, Data Science from Microsoft, IBM, AWS. Materials needed for ... ancestry, political affiliation or veteran status in employment, educational programs and ...

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All JobsPolitical Data Science JobsPolitical Data Science Jobs in Texas

Political Data Science information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do political data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for political data science in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in political data science, and why are they important?

To thrive in Political Data Science, you need expertise in statistics, quantitative research methods, and programming (such as Python or R), often supported by a degree in data science, political science, or a related field. Familiarity with data visualization tools like Tableau, statistical software, and experience with databases and big data platforms are typically important, and certifications in data analytics can be an asset. Strong analytical thinking, collaboration, and effective communication skills help you explain complex findings to non-technical stakeholders. These abilities are crucial for providing actionable insights that influence strategic decisions in political campaigns, policy analysis, or governmental organizations.

What are the typical daily responsibilities of a political data science professional?

Political Data Science professionals typically spend their days collecting and cleaning large datasets related to voter behavior, public opinion, or legislative trends, and developing statistical models to interpret this information. They collaborate closely with campaign strategists, policy analysts, and communication teams to translate data-driven findings into actionable strategies. Presenting results through visualizations and clear reports is a key part of the job, ensuring that technical insights can influence decisions. The work often involves managing multiple projects simultaneously and adapting quickly to the fast-paced environment of politics and public policy.

What is a political data science?

A Political Data Science job involves analyzing political data to uncover trends, inform policy decisions, and support political campaigns or organizations. Professionals in this field use statistical modeling, machine learning, and data visualization to interpret voter behavior, public opinion, and legislative patterns. They often work with large datasets from surveys, elections, and social media to provide data-driven insights.

What are the most commonly searched types of Political Data Science jobs in Texas? The most popular types of Political Data Science jobs in Texas are:
What are popular job titles related to Political Data Science jobs in Texas? For Political Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Political Data Science jobs in Texas look for? The top searched job categories for Political Data Science jobs in Texas are:
What cities in Texas are hiring for Political Data Science jobs? Cities in Texas with the most Political Data Science job openings:
Political Data Science jobs near you
Infographic showing various Political Data Science job openings in Texas as of August 2026, with employment types broken down into 5% Internship, 65% Full Time, 21% Part Time, and 9% Temporary. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Machine Learning Engineer - Strategic Data Solutions

Apple

Austin, TX

$113K - $136K/yr

Full-time

Re-posted 3 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that’s constantly learning and having fun while solving tough business problems? We’d love to talk to you if you do!
At Apple, new ideas have a way of quickly becoming outstanding products, services, and customer experiences. Bring passion and dedication to your career, and there's no telling what you could accomplish! Strategic Data Solutions empowers internal partners and optimizes the customer experience by delivering data-driven solutions that mitigate fraud, improve security, and optimize efficiency. Our work touches all parts of Apple, from manufacturing to fulfillment to apps and services. The enormous scale and complexity of the problems and our data present exciting opportunities for pushing the limits of existing data science methods.
As a SDS Machine Learning Engineer, you will work with teams across Apple, using data analysis and predictive modeling techniques to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers.
Our commitment to you: We will provide challenging problems that will engage your curiosity. We will provide an organizational culture that values collaboration, problem-solving, and work-life balance. We will provide mentorship to further develop your technical and leadership skills.
Description
• Engage with stakeholders to translate ambiguous business problems into technical solutions, including finding opportunities, breaking them into solvable segments, defining requirements, assessing level of effort, etc
• Work cooperatively to design data science-driven solutions, balancing the utility of tried-and-true techniques and the benefits of custom solutions
• Collaborate with technical partners to implement robust real-time and batch decisioning in production
• Create reporting and monitor decisioning quality to maintain operational and business metric health
• Investigate trends, assess threat impact, and respond with agile logic changes
• Communicate with stakeholders with varying technical backgrounds and business priorities about your work
• Share what you're learning about novel technologies and methods (in data science, machine learning, data engineering, and software engineering, etc) to improve your team's overall technical capabilities
Preferred Qualifications
Theoretical understanding of machine learning algorithms and their relative strengths and weaknesses
Ability to use a querying language such as SQL to extract insights from data
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact
Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions
Team-oriented skills and values to facilitate effective collaboration with business and technical partners
Minimum Qualifications
Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelor’s degree with equivalent experience
At least 3 years of practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions
Practical experience with implementing data science-related applications in a programming language such as Python, Scala, or Java

What Apple employees say

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Benefits

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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

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