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Remote Causal Inference Jobs in Dallas, TX (NOW HIRING)

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Causal Inference * Deep Learning Framework: TensorFlow, PyTorch, or Keras * Deep Learning ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Causal Inference * Deep Learning Framework: TensorFlow, PyTorch, or Keras * Deep Learning ...

Remote Causal Inference information

See Dallas, TX salary details

$16

$56

$80

How much do remote causal inference jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for remote causal inference in Dallas, TX is $56.20, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $66.59 per hour, depending on experience, location, and employer.

What is a Remote Causal Inference job?

A Remote Causal Inference job involves using statistical and analytical methods to determine cause-and-effect relationships from data, often for fields like healthcare, social sciences, or business. Professionals in this role work remotely, leveraging tools such as R, Python, or specialized software to analyze experiments, observational studies, or large datasets. Their insights help organizations make data-driven decisions, design better interventions, and accurately measure the impact of policies or treatments. Strong skills in statistics, machine learning, and communication are essential for success in this position.

What are the key skills and qualifications needed to thrive as a Remote Causal Inference Specialist, and why are they important?

To thrive as a Remote Causal Inference Specialist, you need strong quantitative and statistical skills, a solid background in econometrics or data science, and typically an advanced degree in a related field. Proficiency with statistical programming languages such as R or Python, experience with causal inference frameworks like propensity score matching or instrumental variables, and familiarity with data visualization tools are crucial. Outstanding problem-solving abilities, clear communication, and self-motivation are essential soft skills for working independently and conveying complex results to non-technical stakeholders. These skills enable accurate, actionable insights from data, which drive evidence-based decision-making in remote, collaborative environments.

How does a remote Causal Inference specialist typically collaborate with cross-functional teams, and what tools are commonly used?

As a remote Causal Inference specialist, you’ll frequently work with data scientists, product managers, and engineers to design and interpret experiments, analyze observational data, and provide actionable insights. Collaboration usually happens through regular video meetings, shared documentation, and project management tools. Commonly used platforms include Slack or Microsoft Teams for communication, GitHub for code collaboration, and Jupyter Notebooks or RMarkdown for sharing reproducible analyses. These tools help ensure transparency and maintain strong teamwork despite the remote environment.
What are the most commonly searched types of Causal Inference jobs in Dallas, TX? The most popular types of Causal Inference jobs in Dallas, TX are:
What are popular job titles related to Remote Causal Inference jobs in Dallas, TX? For Remote Causal Inference jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Causal Inference jobs in Dallas, TX look for? The top searched job categories for Remote Causal Inference jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Causal Inference jobs? Cities near Dallas, TX with the most Remote Causal Inference job openings:
Infographic showing various Remote Causal Inference job openings in Dallas, TX as of July 2026, with employment types broken down into 6% Locum Tenens, 85% Full Time, 8% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $116,898 per year, or $56.2 per hour.
Data Scientist Senior

Data Scientist Senior

USAA

Plano, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


USAA rating

8.3

Company rating: 8.3 out of 10

Based on 259 frontline employees who took The Breakroom Quiz

35th of 144 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

Employer: United Services Automobile Association

Tasks: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. May telecommute.

Requirements: Will accept a Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Sciences, Science and Engineering or related field and 4 years of experience in the job offered or in a related occupation. Alternatively, will accept a Master's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Sciences, Science and Engineering or related field and 12 months of experience in the job offered or in a related occupation.

  • Calculus: Derivatives, Gradients, and Optimization Algorithms
  • Linear Algebra: Linear Transformations and Matrix Decompositions
  • Probability & Statistics: Descriptive Statistics, Probability Distributions, Hypothesis Testing, Stochastic Processes, and Monte Carlo Simulation
  • Supervised Learning: Regression and Classification
  • Unsupervised Learning: Clustering, Dimensionality Reduction, and Anomaly Detection
  • Time Series Analysis
  • Causal Inference
  • Deep Learning Framework: TensorFlow, PyTorch, or Keras
  • Deep Learning Architectures: CNNs, RNNs, Encoder-decoders, and Transformers
  • NLP Experience: Embedding, Sentiment Analysis, Text Classification, and Topic Modeling
  • LLM Experience: Use LLM for Summarization, Information Extraction, Text Generation, and Question Answering
  • LLM Techniques: Embedding, Prompt Engineering, Retrieval Augmented Generation, and Fine-tuning 13.LLM Evaluation Metrics and Frameworks
  • Python, PySpark, C++, SQL, and Power BI
  • Git Version Control System
  • Airflow CI/CD Tool
  • Docker Containerization Tool
  • Google Cloud Platforms, experience with Big Query, Vertex AI, and Cloud Storage
  • Finance & Insurance Knowledge
  • Data Science Development Platforms; and
  • Multi-Cloud Data Platforms

Worksite: 5601 Legacy Drive, Plano TX 75024

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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