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

Kemper

Data Scientist

Dallas, TX · On-site +1

Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Bread Financial

Data Scientist

Frisco, TX · On-site +1

$104K - $180K/yr

The Data Scientist is pivotal in generating data-driven insights using advanced analytics and ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Jobsultant Solutions

Remote Data Analyst

Dallas, TX · Remote

Work Environment: * 100% remote - must work in CST * 8am-5pm (9 hour day with one hour lunch break ... Data science experience * Retail experience * SQL Coding, Microsoft Access, Macro building ...

Toyota

Data Scientist

Plano, TX · On-site +1

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... Experience working in Data Science outside of a degree-seeking academic program. What we'll bring ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... risk, legal, compliance) with strong governance, privacy requirements ... 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

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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Remote Data Scientist Risk information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

How much do remote data scientist risk jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote 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.

Can you work remotely as a data scientist?

Remote data scientist roles are common in the industry, allowing professionals to work from home or other locations. These positions typically require strong skills in programming, data analysis, and tools like Python or R, and may involve collaboration via online platforms. Many companies offer flexible or fully remote arrangements for qualified candidates.
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Remote Data Scientist Risk jobs near you

ML / Bioinformatics Data Scientist

IT America Inc

Dallas, TX • Remote

Contractor

Re-posted 7 days ago

Job description

Position: ML / Bioinformatics Data Scientist

Location: Remote (PST work hours)

Duration: Long term contract

About the Role:

We are seeking a highly motivated and collaborative Bioinformatics/ML scientist to join the Computational biology & Medicine department in Computational Sciences COE (Center of Excellence) within Genentech’s Research and Early Development (gRED). The successful candidate will contribute to a cross-functional project that will apply Machine Learning (ML) models to multi-modal datasets collected from clinical trials. This role requires a deep understanding of application of Machine Learning models, a background in biology, a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.

We are looking for exceptional researchers with a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement research ideas. The candidate is expected to have worked on previous ML modeling projects and applying them to multi-modal datasets to be considered.

About the Project:

The goal of this project is to develop a machine learning model to predict a patient's risk for drug-induced liver toxicity based on a wide variety of patient characteristics including clinical, genetics, omics and safety labs. The focus will be harmonizing these diverse data sources, deriving new features, and  building machine learning models designed to identify a predictive signature that can distinguish between at-risk and not-at-risk patient populations.

Key Responsibilities:

  • Data centralization and harmonization
  • Applying ML methods on assembled dataset to identify patients’ risk for drug-induced liver toxicity.
  • Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.

Educational Background:

  • PhD degree in quantitative field ( e.g., Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics) 

Experience:

  • Proven track record of working with statistical modeling techniques, including ML methods, is required
  • Demonstrated interest in problems across biology as applied to the discovery and development of treatments for disease is preferred

Technical Skills:

  • Data Science & Programming: Expertise in Python/R for data manipulation, statistical analysis, and ML model building (required)
  • Multimodal Data & Modeling: Proven ability to work with diverse data types (omics, clinical, imaging) (required).
  • Knowledge of statistics and experience with survival analysis (required)
  • Domain & AI-specific Skills: Experience with NLP/LLMs for feature extraction from unstructured text, and a strong background in a neuroscience (preferred)

Soft Skills:

  • Excellent communication, collaboration, and problem-solving skills (required).

Publications:

  • Strong publication record and experience contributing to research communities.