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Remote Economics Data Science Jobs in Texas (NOW HIRING)

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Lead Modeling Scientist Location : Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Varsity Tutors

College Economics Tutor

Sugar Land, TX · Remote

$18 - $40/hr

Adapts instruction using worked problems, graphing exercises, and current economic data analysis to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

College Economics Tutor

El Paso, TX · Remote

$18 - $40/hr

Adapts instruction using worked problems, graphing exercises, and current economic data analysis to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

College Economics Tutor

Missouri City, TX · Remote

$18 - $40/hr

Adapts instruction using worked problems, graphing exercises, and current economic data analysis to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

College Economics Tutor

Brownsville, TX · Remote

$18 - $40/hr

Adapts instruction using worked problems, graphing exercises, and current economic data analysis to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

College Economics Tutor

Grand Prairie, TX · Remote

$18 - $40/hr

Adapts instruction using worked problems, graphing exercises, and current economic data analysis to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

College Economics Tutor

Lubbock, TX · Remote

$18 - $40/hr

Adapts instruction using worked problems, graphing exercises, and current economic data analysis to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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All JobsEconomics Data Science JobsRemote Economics Data Science JobsRemote Economics Data Science Jobs in Texas

Remote Economics Data Science information

What are the key skills and qualifications needed to thrive as a remote economics data scientist, and why are they important?

To thrive as a Remote Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by a degree in economics, statistics, or a related field. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with databases or cloud platforms are essential technical skills. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for collaborating remotely and delivering actionable insights. These skills are crucial for accurately interpreting economic data, building predictive models, and driving data-informed decision-making in a remote environment.

How do remote economics data scientists typically collaborate with cross-functional teams?

Remote Economics Data Science professionals often work closely with teams in product, engineering, and business strategy through virtual meetings, shared dashboards, and collaborative tools. Communication is key, as they translate complex economic models and data findings into actionable insights for stakeholders with varying technical backgrounds. Regular check-ins, clear documentation, and participation in agile sprints or project cycles help align goals and ensure that data-driven recommendations are integrated into decision-making processes. Adapting to different time zones and building strong virtual relationships are important aspects of effective collaboration in this remote role.

What is a remote economics data scientist?

A Remote Economics Data Scientist is a professional who analyzes large sets of economic and financial data to extract insights, build predictive models, and support decision-making, all while working from a remote location. They combine expertise in economics, statistics, programming, and data analysis to interpret trends and inform business or policy strategies. Remote Economics Data Scientists often use tools such as Python, R, SQL, and data visualization platforms to communicate findings effectively. Their work can span industries like finance, government, consulting, and academia.
What are the most commonly searched types of Economics Data Science jobs in Texas? The most popular types of Economics Data Science jobs in Texas are:
What are popular job titles related to Remote Economics Data Science jobs in Texas? For Remote Economics Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Economics Data Science jobs in Texas look for? The top searched job categories for Remote Economics Data Science jobs in Texas are:
What cities in Texas are hiring for Remote Economics Data Science jobs? Cities in Texas with the most Remote Economics Data Science job openings:
Remote Economics Data Science jobs near you

Senior Data Scientist (Credit Risk)

Braviant Holdings

Dallas, TX • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title: Senior Data Scientist
Function: Credit Risk
Reports to: Head of Credit
Level: Mid-Level / Senior
Location: Addison, TX (5 days/week in-office)

Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time.

Who We Are

Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime®, helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work.

We are a lean team of approximately 40 people. Everyone rolls up their sleeves here, including this role.

About the Role
We are building and scaling a high-performance consumer lending platform and are looking for a Senior Data Scientist to drive credit decisioning across the loan lifecycle. This role sits at the intersection of credit strategy, fraud, and analytics, directly impacting approval strategy, loss performance, and portfolio profitability. You will build and deploy models that inform key decisions around who we approve, how we price risk, and how we manage portfolio performance. This is a hands-on, high-impact role suited for someone who is business-oriented, data-driven, and biased toward action, not just model development. You will partner closely with Credit, Fraud, Servicing, Product, and Engineering to translate data into clear, actionable decisions that improve approval quality, reduce early loss, and drive sustainable growth.
What You'll Be Doing
  • Develop and deploy predictive models across the credit lifecycle (acquisition, risk, and collections) with a focus on improving approval quality and loss performance.
  • Translate model outputs and analysis into actionable credit strategy, including approval cutoffs, segmentation, and decision rules.
  • Analyze portfolio performance (FPD, delinquency, loss) to identify key drivers of deterioration and recommend targeted actions.
  • Evaluate tradeoffs between approval rate, loss, and profitability, and recommend strategies to optimize portfolio performance.
  • Distinguish fraud risk vs credit risk, improving early default performance and reducing losses.
  • Design and execute experiments (A/B tests, champion/challenger frameworks) to evaluate strategies and drive continuous improvement.
  • Work with Product and Engineering to implement decisioning logic into production systems and ensure accurate execution.
  • Monitor model and strategy performance over time, identifying drift, instability, or unintended impacts on portfolio outcomes.
  • Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite.
What You Will Bring

Required

  • Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field
  • 5-7 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space.
  • Advanced proficiency in Python for programming, data analysis, and predictive modeling
  • Proficiency in SQL, Excel and experience with data visualization tools
  • Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models
  • Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping
  • Passion for keeping your skills up to date and exploring new methodologies
  • The ability to distill complex problems and analysis into a clear and concise narrative
 
Preferred
  • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment.
  • Hands-on experience applying AI to credit risk management
Benefits & Perks

Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide:

  • Comprehensive healthcare including medical, dental, and vision coverage
  • Generous paid time off, including PTO, sick time, and 13 company holidays
  • 401(k) with company contribution
  • Participation in annual discretionary bonus plan
  • Regular team and company gatherings
Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.