1

Computer Science Economics Jobs in Austin, TX (NOW HIRING)

The team draws from backgrounds in Statistics, Operations Research, Computer Science, Economics, and Natural Sciences. We value analytical rigor, clear communication, and proactivity. We believe that ...

Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred. * Masters in a Data Science ...

Minimum Qualifications Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline, or equivalent practical experience ...

Senior Data Scientist, Apple Ads

Austin, TX · On-site

$150K - $277K/yr

... Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity with experiment design ...

Senior Data Scientist, Apple Ads

Austin, TX · On-site

$150K - $277K/yr

... Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity with experiment design ...

Senior Data Scientist, Apple Ads

Austin, TX · On-site

$150K - $277K/yr

... Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity with experiment design ...

next page

Showing results 1-20

Computer Science Economics information

See Austin, TX salary details

$10.9K

$97.1K

$159.1K

How much do computer science economics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer science economics in Austin, TX is $97,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $21,800.00 and $158,600.00 per year, depending on experience, location, and employer.

What is a computer science economics?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

What does a computer science economics do?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

What skills and qualifications are needed for a computer science economics?

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

Is computer science and economics a good combination?

Computer Science Economics combines technical programming skills with economic analysis, making it valuable for roles in data analysis, financial modeling, and technology-driven economic research. Professionals in this field often use programming languages like Python or R and may pursue certifications in data science or economics to enhance their expertise.

What are the top 3 highest paying jobs in computer science?

In computer science, the highest paying roles typically include software engineering managers, data scientists, and solutions architects. These positions often require advanced technical skills, experience, and sometimes certifications, and they tend to offer salaries significantly above the industry average.

What can you do with a computer science and economics degree?

A computer science and economics degree prepares individuals for roles such as data analyst, financial analyst, software developer, or economic consultant. These roles often require skills in programming, data analysis, and understanding economic principles, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and consulting.

What are popular job titles related to Computer Science Economics jobs in Austin, TX?

For Computer Science Economics jobs in Austin, TX, the most frequently searched job titles are:

What cities near Austin, TX are hiring for Computer Science Economics jobs?

Cities near Austin, TX with the most Computer Science Economics job openings:

Infographic showing various Computer Science Economics job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $97,138 per year, or $46.7 per hour.

Senior Data Scientist, Home Lending

Wealthfront

Austin, TX

$185K - $211K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


Key responsibilities

  • Build predictive models for potential purchasers or refinancers in the client base to enable targeted outreach

  • Analyze user behavior in web-based home lending tools and flows to identify patterns and optimize experiences

  • Interpret and contextualize statistical results for business stakeholders and help translate numbers into recommendations


Job description

The Wealthfront Data Science Team utilizes our rich financial and behavioral data to influence key product and marketing decisions, as well as to safeguard our client’s information and assets. The team draws from backgrounds in Statistics, Operations Research, Computer Science, Economics, and Natural Sciences. We value analytical rigor, clear communication, and proactivity. We believe that good ideas can come from anywhere and encourage Data Scientists to pursue self-directed explorations in search of business value. 

The Data Scientist in this role will be primarily embedded within Wealthfront’s new and quickly-growing Home Lending area. The vision of this area is to enable our clients to grow their wealth through leveraged home ownership.

Responsibilities
  • Build predictive models for potential purchasers or refinancers in our client base to enable efficient and targeted outreach
  • Analyze user behavior in web-based home lending tools and flows to identify patterns and optimize these experiences

  • Interpret and contextualize statistical results for business stakeholders and help translate numbers into recommendations

Expectations
  • Demonstrate a high degree of independence, proactivity, and curiosity - be the first to identify opportunities

  • Formulate project plans with clear rationale, candidate approaches and milestones

  • Communicate clearly and effectively with partners both within and outside the home lending area, through written documents, presentations, and in-person or video meetings

  • Identify key initiatives for the Home Lending area and champion the role of Data Science within these initiatives

  • Employ a high degree of mathematical rigor and best practices for software development.

  • Enhance overall Data Science team execution through hands-on help, design feedback and peer review

  • Depending on experience and interest, management of more junior Data Science team members.

Requirements
  • A Master's or a PhD degree in a quantitative field such as Statistics, Operations Research, Computer Science, Economics or Natural Sciences, with 6+ years of prior experience in a Data Science role. Exceptions to these requirements may be considered on a case-by-case basis.  

  • Strong communication and collaboration skills and a record of partnering across organizations to sharpen project requirements. Sometimes this includes re-framing the original request to solve a more general problem with similar effort. 

  • Hands-on mathematical and software engineering skills to execute on complex projects.

  • Proficiency in Python and SQL.

  • Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills.

Estimated annual salary range: $185,000 - $211,000 USD plus Equity.

Plus benefits include medical, vision, dental, 401K plan, generous time off, parental leave, wellness reimbursements, professional development, employee investing discount, and more!

About Wealthfront

Here at Wealthfront, our mission is to create a financial system that favors people, not institutions. We do this by leveraging technology to build powerful, low-cost, and easy-to-use financial products that help modern investors grow and manage their money.

We started with the ambition to transform the investment advisory business. By automating strategies typically reserved for the wealthy, we unlocked access to high quality investment advice for a digitally-native generation that was underserved by traditional institutions. Since then, we've expanded to a full suite of products designed to help our clients turn their savings into long-term wealth, including:

• A Cash Account that, through our partner banks, offers one of the highest annual percentage yields on uninvested cash in the industry, while providing instant and secure access to your money with no account fees and a full suite of checking features.

• A zero-commission Stock Investing Account with 50+ handpicked collections that help DIY investors discover new companies and make smarter investing decisions.

• Multiple automated investing portfolios designed to unlock tax savings through sophisticated strategies like fixed income, tax-loss harvesting, and direct indexing—which we offer at industry-leading low costs and accessible minimums.

Our award-winning products have attracted over 1 million clients who trust us with more than $85 billion of their hard earned savings—and we're far from done. If you’re inspired to help us reshape the financial industry as we create our next chapter, let’s talk!

For more information please visit www.wealthfront.com.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Please review our candidate privacy notice. 


Disclosures: All investing involves risk, including the possible loss of principal. Tax-Loss Harvesting benefits vary depending on the client's entire tax and investment profile. Wealthfront doesn’t provide tax advice. The Cash Account is offered by Wealthfront Brokerage LLC (“Wealthfront Brokerage”), Member of FINRA/SIPC. Wealthfront Brokerage is not a bank. We convey funds to partner banks who accept and maintain deposits, provide the variable interest rate, and provide access to FDIC pass-through insurance. Investment management and advisory services–which are not FDIC insured–are provided by Wealthfront Advisers LLC (“Wealthfront Advisers”), an SEC-registered investment adviser. The checking features offered in the Wealthfront Cash Account are provided by Green Dot Bank, Member FDIC. Fees and Eligibility requirements may apply to certain checking features, please see the Deposit Account Agreement for details.


By “award-winning products”, please refer to www.wealthfront.com/reviews for more information. Wealthfront Corporation oversees Total Client Assets and Trusted Clients through Wealthfront Advisers and Wealthfront Brokerage. Wealthfront Advisers and Wealthfront Brokerage are wholly owned subsidiaries of Wealthfront Corporation.