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Data Scientist Risk Jobs in Dallas, TX (NOW HIRING)

Vizient, Inc.

Lead Data Scientist

Irving, TX · On-site

You will design scalable data science products, translate sophisticated analytical findings into ... risk, latency, cost, safety, and consistency measures. * Make key analytical and architectural ...

TAMKO

Manufacturing Data Scientist

Dallas, TX · On-site

As a Manufacturing Data Scientist at TAMKO, you will be integral to executing the AI and data ... risk. * Interpret an extensive variety of technical instructions in mathematical or diagram form ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX ... finance, risk, legal, compliance) with strong governance, privacy requirements. This position is ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ...

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All JobsData Scientist Risk JobsData Scientist Risk Jobs in Dallas, TX

Data Scientist Risk information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

How much do data scientist risk jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data scientist risk in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

What types of projects or problems do Data Scientist Risk professionals typically work on?

Data Scientist Risk professionals typically work on projects involving risk assessment, fraud detection, credit scoring, market risk analysis, and regulatory compliance. Their day-to-day responsibilities often include analyzing large datasets to identify patterns, building predictive models, and presenting insights to risk managers or executives to support risk mitigation strategies. You'll often collaborate with cross-functional teams including finance, IT, and compliance to develop innovative risk solutions and improve organizational decision-making. The work environment is dynamic and intellectually challenging, offering opportunities to continuously learn and make an impact in critical business areas.

What is a Data Scientist Risk job?

A Data Scientist Risk job involves using data analysis, machine learning, and statistical modeling to assess and mitigate financial, credit, or operational risks. These professionals work with large datasets to identify patterns, detect anomalies, and build predictive models that help organizations make informed decisions. They collaborate with risk management teams and stakeholders to develop strategies for minimizing potential losses while ensuring regulatory compliance. Strong analytical skills, proficiency in programming languages like Python or R, and knowledge of risk modeling techniques are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Scientist Risk position, and why are they important?

To excel as a Data Scientist Risk, you need strong analytical skills, advanced knowledge of statistics, programming (typically in Python or R), and a relevant degree such as mathematics, finance, or data science. Familiarity with machine learning libraries, data visualization tools, and risk modeling software like SAS or SQL is commonly required, and certifications such as FRM or CFA are advantageous. Excellent problem-solving, critical thinking, and clear communication abilities are vital for interpreting complex data and presenting actionable insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting decision-making, and ensuring regulatory compliance in fast-paced business environments.

What are the most commonly searched types of Data Scientist Risk jobs in Dallas, TX? The most popular types of Data Scientist Risk jobs in Dallas, TX are:
What are popular job titles related to Data Scientist Risk jobs in Dallas, TX? For Data Scientist Risk jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Scientist Risk jobs in Dallas, TX look for? The top searched job categories for Data Scientist Risk jobs in Dallas, TX are:
Data Scientist Risk jobs near you
Infographic showing various Data Scientist Risk job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,417 per year, or $58.4 per hour.
Lead Data Scientist

Lead Data Scientist

Vizient, Inc.

Irving, TX • On-site

Full-time

Re-posted 2 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary:
In this role, you will develop and deploy advanced analytics, machine learning, generative AI, and agentic AI solutions that address complex business and client challenges. You will design scalable data science products, translate sophisticated analytical findings into actionable insights, and guide data scientists in delivering high-quality solutions that improve clinical, operational, and economic outcomes. You will influence technical strategy, drive innovation, and ensure analytical solutions align with organizational objectives.
Responsibilities:
  • Lead the design, development, and implementation of advanced machine learning, generative AI solutions across structured and unstructured data.
  • Build and deploy scalable, automated data science products and reusable analytic assets that support business and client objectives.
  • Analyze large-scale, high-dimensional datasets using modern analytics tools and distributed computing platforms to identify trends, opportunities, and actionable insights.
  • Design and prototype agentic AI workflows leveraging large language models (LLMs), retrieval systems, structured data, APIs, tools, and business rules to automate complex business processes.
  • Translate business requirements into AI agent architectures, including task decomposition, tool orchestration, routing logic, escalation paths, and human approval checkpoints.
  • Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation.
  • Develop evaluation frameworks for machine learning and AI solutions, including performance, accuracy, reliability, hallucination risk, latency, cost, safety, and consistency measures.
  • Make key analytical and architectural decisions, establish technical standards, and provide leadership on methodology, model selection, solution design, and AI implementation best practices.
  • Lead code reviews, mentor data scientists, and promote best practices in software development, responsible AI, model governance, and analytics delivery.
  • Partner with engineering, platform, and business teams to deploy, monitor, and maintain production-ready analytics and AI solutions.
  • Translate complex analytical findings into clear reports, visualizations, and presentations for technical and non-technical audiences.
  • Collaborate with stakeholders and clients to define analytical approaches that address strategic, operational, and clinical objectives.
  • Evaluate emerging technologies and industry trends to advance organizational analytics and AI capabilities.

Qualifications:
  • Relevant degree preferred. Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus.
  • 7 or more years of relevant experience required.
  • Demonstrated expertise in data science methodologies, statistical modeling, machine learning, generative AI, agentic AI, and natural language processing required.
  • Strong understanding of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and autonomous decision-making frameworks within enterprise AI environments highly preferred.
  • Expertise in programming languages such as Python, R, SQL, SAS, or similar analytical tools.
  • Experience with vector databases, semantic search technologies, knowledge graphs, metadata management, or enterprise search platforms.
  • Experience deploying, monitoring, and maintaining machine learning and AI solutions in production environments.
  • Knowledge of responsible AI principles, model governance, explainability, bias detection, validation methodologies, and ethical use of data.
  • Experience designing and implementing human-in-the-loop workflows that balance automation, governance, risk management, and user oversight.
  • Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks.
  • Strong analytical, problem-solving, communication, and presentation skills with the ability to convey complex concepts to diverse audiences.
  • Experience leading complex analytics initiatives, providing technical guidance, and mentoring data scientists.
  • Experience working with healthcare data, including clinical, claims, operational, or financial datasets preferred.

#LI-JB1
Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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