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Contract Data Scientist Risk Jobs in Frisco, TX (NOW HIRING)

3B Staffing LLC

Data Scientist

Irving, TX · On-site

$58 - $84/hr

Data Scientist Onsite role in Irving, Texas 6- Months Contract USC/GC only $58.00 - $84.00 (est. hourly rate) Duties * Lead and execute data science projects, delivering innovative technical ...

New

3B Staffing LLC

Data Scientist

Irving, TX

$58 - $84/hr

Data Scientist Onsite role in Irving, Texas 6- Months Contract USC/GC only $58.00 - $84.00 (est. hourly rate) Duties * Lead and execute data science projects, delivering innovative technical ...

New

Elevance Health

Data Scientist

Grand Prairie, TX · Hybrid

Data Scientist Location: This role requires associates to be in-office 1-2 days per week, fostering ... Leads development and execution of risk assessment methodologies to fit business, regulatory, and ...

Kemper

Data Scientist

Dallas, TX · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical ...

MM International

Data Scientist

Dallas, TX · On-site

Role: Principal Data Scientist - USPTO (Emerging Technologies Program) Remote - Preference for DMV locals 6-Month Contract-to-Hire | Public Trust Clearance Required Join a dynamic team driving ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Develop cost estimation and risk/likelihood models using statistical and ML techniques. Text Data ... Core Data Science Engineering & MLOps * Work in Databricks for ETL, feature engineering, ML ...

Lendistry

Data Scientist I

Dallas, TX · On-site

Additionally, the Data Scientist will help shape business strategy and product development ... This is an exciting role for someone to make a direct impact on risk, product and revenue strategy ...

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All JobsContract Data Scientist Risk JobsContract Data Scientist Risk Jobs in Frisco, TX

Contract Data Scientist Risk information

See Frisco, TX salary details

$35.1K

$114.9K

$183.9K

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

As of Sep 5, 2026, the average yearly pay for contract data scientist risk in Frisco, TX is $114,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $127,300.00 per year, depending on experience, location, and employer.

What is a contract data scientist risk?

Contract Data Scientist Risk jobs involve analyzing large datasets to identify, assess, and model risks within an organization on a contract or temporary basis. These professionals use statistical techniques, machine learning, and data visualization to help companies make informed decisions about risk management. Their work often focuses on financial, operational, or compliance risks, and they typically collaborate with risk managers and other stakeholders. Contract roles offer flexibility and are often project-based, allowing companies to access specialized expertise when needed.

How does a contract data scientist risk typically collaborate with cross-functional teams within an organization?

As a Contract Data Scientist focused on risk, you’ll frequently work alongside risk analysts, compliance officers, IT professionals, and business managers to identify, assess, and mitigate potential threats to the organization. You’ll translate complex data models into actionable insights, present findings to non-technical stakeholders, and often participate in strategic meetings to align your analyses with business goals. Effective communication and teamwork are essential, as your models and recommendations directly influence decision-making across departments. This collaborative environment allows you to quickly gain exposure to different areas of the business and expand your professional network.

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

To thrive as a Contract Data Scientist in Risk, you need strong analytical skills, proficiency in statistical modeling, and a solid background in mathematics or computer science, often supported by an advanced degree. Familiarity with programming languages like Python or R, expertise in machine learning libraries, and experience with risk modeling platforms or data visualization tools are typically required. Outstanding problem-solving abilities, attention to detail, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately identifying, assessing, and mitigating risks, enabling data-driven decision-making in dynamic business environments.

What are the most commonly searched types of Data Scientist Risk jobs in Frisco, TX?

The most popular types of Data Scientist Risk jobs in Frisco, TX are:

What are popular job titles related to Contract Data Scientist Risk jobs in Frisco, TX?

For Contract Data Scientist Risk jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Contract Data Scientist Risk jobs in Frisco, TX look for?

The top searched job categories for Contract Data Scientist Risk jobs in Frisco, TX are:

Contract Data Scientist Risk jobs near you
Infographic showing various Contract Data Scientist Risk job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $114,875 per year, or $55.2 per hour.

ML / Bioinformatics Data Scientist

IT America Inc

Dallas, TX • Remote

Contractor

Re-posted 6 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.