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Contract Data Scientist Risk Jobs (NOW HIRING)

As a Staff Data Scientist supporting Risk, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes ...

We're looking for a Data Scientist with expertise in fraud and risk to detect and prevent these threats to our community. You will: Generate Insights & Shape Direction * Translate complex data into ...

As a Staff Data Scientist supporting Risk, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes ...

The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision ...

OR · On-site

The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision ...

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

$223.66K - $268.33K/yr

The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual ...

Sr Data Scientist, Risk Strategy

San Jose, CA · Hybrid

$223.66K - $268.33K/yr

The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual ...

We're an exciting seed round, Boston-based,contract management and analysis tool for technology ... This is an exciting Senior Data Scientist/Machine Learning opportunity to have a real impact and be ...

Temporary/Contract Data Analyst Division of Insurance The Division of Insurance is seeking a ... The ideal candidate has a background in mathematics, data science, data analytics, computer science ...

This role sits at the intersection of regulatory data science, risk modeling, and federal program oversight driving the analytical frameworks used to evaluate and prioritize compliance risk across ...

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Contract Data Scientist Risk information

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$37.5K

$122.7K

$196.5K

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

As of May 30, 2026, the average yearly pay for contract data scientist risk in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Data Scientist in 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.

How does a Contract Data Scientist specializing in 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 Contract Data Scientist Risk jobs?

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.
More about Contract Data Scientist Risk jobs
What cities are hiring for Contract Data Scientist Risk jobs? Cities with the most Contract Data Scientist Risk job openings:
What are the most commonly searched types of Data Scientist Risk jobs? The most popular types of Data Scientist Risk jobs are:
What states have the most Contract Data Scientist Risk jobs? States with the most job openings for Contract Data Scientist Risk jobs include:
Infographic showing various Contract Data Scientist Risk job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist - Risk & Compliance Domain

Senior Data Scientist - Risk & Compliance Domain

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Posted 18 days ago


Job description

Overview:
Job Title: Senior Data Scientist - Risk & Compliance Domain (Job ID: 2098)
Location: Remote (but need someone local to - Denver, CO 80237)
Duration: July 15, 2025 - February 27, 2026
Hire Type: Contractor (Contract Only)
Role Responsibilities:
Project Management: Leading and managing end to end data science projects, defining objectives, define requirements, and ensuring timely delivery.
Model Development & Implementation: Developing and validating machine learning and statistical models, implementing predictive models, and optimizing existing ones.
Data Analysis & Insights: Analyzing large datasets, identifying trends and patterns, and extracting actionable insights to inform business decisions.
Collaboration & Communication: Working with cross-functional teams and stakeholders, including engineering, product, and business stakeholders, to translate complex data into actionable strategies.
Mentorship & Guidance: Providing guidance and mentorship to junior data scientists, sharing expertise, and fostering their professional growth.
Staying Updated: Keeping abreast of the latest advancements in data science and AI, exploring new tools and techniques, and identifying opportunities for innovation.
Strategic Input: Contributing to the development of data-driven strategies and providing input on technical approaches for projects.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services leading in detecting and preventing digital fraud, scams and social engineering.
Able to quickly understand our current Risk Models with the goal of building a flexible AI solution that partners with our current risk tools to maintains our high standards for Risk Prevention and Compliance while providing flexibility to effectively run our business.
Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
Experience navigating difficult scenarios developing and implementing execution ideas with minimal guidance.
Proficiency in programming languages like Python or R.
Ability to create clear and concise visualizations to communicate complex data.
Ability to create clear and standard data models to communicate with the stakeholders and to capture the semantics of the data and the complex semi-structured content.
Strong analytical and problem-solving skills, with the ability to tackle complex business challenges.
Excellent communication and presentation skills to effectively convey findings to both technical and non-technical audiences.
Experience and willingness to lead and mentor a team, providing guidance and support to junior members
Skills:
Risk & Compliance