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

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

... 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 ...

... 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 ...

... 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 ...

A bachelor's degree in marketing, statistics, computer science, economics, or a related quantitative field. * Experience: Usually 1 to 3 years of experience in data analysis, digital marketing, or ...

Sr Data Analyst, Seller

Austin, TX

$85K - $107K/yr

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field; advanced degree a plus How We Work: We balance creativity and innovation on a foundation of ...

Sr Data Analyst, Seller

Austin, TX · On-site

$85K - $107K/yr

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field; advanced degree a plus How We Work: We balance creativity and innovation on a foundation of ...

Bachelor's degree (or in progress) in a quantitative field (Statistics, Data Analytics, Computer Science, Economics, or Mathematics). A Master's degree is preferred. Technical Requirements: * SQL ...

Bachelor's degree (or in progress) in a quantitative field (Statistics, Data Analytics, Computer Science, Economics, or Mathematics). A Master's degree is preferred. Technical Requirements: * SQL ...

Bachelor's degree (or in progress) in a quantitative field (Statistics, Data Analytics, Computer Science, Economics, or Mathematics). A Master's degree is preferred. Technical Requirements: * SQL ...

Business Analyst III - AMZ9706885

Austin, TX · On-site

$118K - $160K/yr

Master's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job ...

Master's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data ...

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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 Aug 7, 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 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 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 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.

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. Graduates can work in finance, technology, consulting, or research, often utilizing skills in programming, data analysis, and economic modeling.

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 tech-driven economic research. This interdisciplinary background can enhance job prospects in finance, consulting, and technology sectors that rely on data-driven decision making.
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, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $97,138 per year, or $46.7 per hour.

Senior Data Scientist, CRM & Personalization

Realtor.com Careers

Austin, TX

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago


Job description

The Senior Data Scientist, CRM Marketing, will be a key driver of data-informed customer relationship management strategies focusing on the Seller and Owner verticals. This role will leverage advanced analytical techniques to understand customer behavior, optimize marketing campaigns, personalize customer experiences, enhance lead generation and sales effectiveness, and ultimately contribute to increased customer engagement and revenue generation across both business lines. The ideal candidate will possess a strong analytical background, excellent communication skills, and a passion for leveraging data to solve complex business challenges in a dynamic real estate environment.

Top Reasons to Apply:
  • Massive, Visible Impact: We are sitting on a wealth of low-hanging fruit, meaning your work will directly drive consumer leads, retention, and revenue.
  • True Strategy & Autonomy: You won't just be crunching numbers; you will have strong autonomy over data strategy and act as a crucial partner to product stakeholders.
  • Own the Funnel Strategy: You will fill a critical gap by owning the analytical strategy for the Seller/Owner verticals, focusing on CRM channels like email and push notifications.
What You'll Do:
  • Develop and implement data-driven CRM marketing strategies including segmentation, targeting, and personalization initiatives.
  • Map and analyze the customer journey for sellers/owners identifying key touchpoints and opportunities for optimization through CRM interventions.
  • Build sophisticated segmentation models to identify and target potential audiences for specific seller/owner projects based on various data sources.
  • Design and execute personalized communication strategies and campaigns for consumers in both the Seller and Owner sectors.
  • Collaborate on the integration of CRM data with other relevant platforms to create a holistic view of the customer.
  • Establish KPIs and develop analytical frameworks to measure the effectiveness of CRM marketing campaigns across both business units, providing actionable insights for optimization.
  • Conduct in-depth analysis of consumer data to identify trends, patterns, and opportunities for improved engagement, retention, and cross-selling (where applicable).
  • Communicate complex analytical findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
  • Stay abreast of the latest trends and technologies in data science, CRM marketing, and the real estate industry.
  • Collaborate with Data Engineering and IT teams to ensure data quality, accessibility, and the development of necessary data infrastructure.
  • Partner with Marketing Managers to understand their specific needs and develop tailored analytical solutions.
What You'll Bring:
  • Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related area.
  • 5 years of related experience, with 2+ years as a Data Scientist, preferably with a focus on marketing analytics or CRM.
  • Proven experience in developing and implementing data-driven marketing strategies, including segmentation, targeting, and personalization.
  • Strong proficiency in statistical modeling, machine learning techniques (e.g., regression, classification, clustering), and data mining.
  • Experience with CRM platforms (e.g., Cordial, Braze) and marketing automation tools.
  • Excellent SQL skills and experience working with large datasets.
  • Proficiency in programming languages commonly used for data analysis (e.g., Python, R).
  • Strong data visualization skills and experience with tools such as Tableau or Power BI.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Strong problem-solving and analytical skills with a demonstrated ability to translate data into actionable business insights.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Experience in the real estate industry (Rental or New Construction) is a plus.
  • Familiarity with the new homebuyer journey and related data sources is a significant advantage.
How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location