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Contract Data Scientist Risk Jobs (NOW HIRING)

The Sr Data Scientist, Risk will leverage analytical and modeling skills to identify fraud patterns, collaborate with stakeholders, and develop machine learning models to enhance fraud detection ...

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 ...

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 ...

Predictive Modeling & Risk Stratification: Develop and deploy machine learning models to identify ... contracts. * Data Quality & Validation: Implement rigorous validation techniques to ensure model ...

Risk Data Scientist

Boston, MA · On-site

$112 - $155/hr

Risk Data Scientist Location: Downtown Boston, MA Employment Type: Exempt Full Time - 5 days in office - 50 hours Compensation: $112,000 - $155,000 + Full Benefit Package Day One * This position is ...

Risk Data Scientist Location: Downtown Boston, MA Employment Type: Exempt Full Time Compensation: $112,000 - $155,000 + Full Benefit Package Day One Applicants must be authorized to work for any ...

Risk Data Scientist Location: Downtown Boston, MA Employment Type: Exempt Full Time Compensation: $112,000 - $155,000 + Full Benefit Package Day One Applicants must be authorized to work for any ...

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we ... We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine ...

The Generative AI Scientist - Risk will apply knowledge and experience to real world problems and ... As a Data Scientist on this team, you will focus on three main project areas: Model Validation ...

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

We have an outstanding Contract position for a Data Scientist to join a leading Company located in ... predictive risk models backed by statistical analysis and supports data-driven solutions.

We have an outstanding Contract position for a Data Scientist to join a leading Company located in ... predictive risk models backed by statistical analysis and supports data-driven solutions.

Showing results 21-40

Contract Data Scientist Risk information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 7, 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 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.
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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Sr/Principal Data Scientist, Risk Strategy (San Jose)

OKX

San Jose, CA • On-site

$223K - $268K/yr

Full-time

Re-posted 5 days ago


Job description

Sr Data Scientist, Risk at OKX

Join to apply for the Sr Data Scientist, Risk role at OKX.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.

About The Opportunity

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 curiosity and passion for achieving business results. An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.

What You’ll Be Doing
  • Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection.
  • Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams.
  • Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences.
  • Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations.
  • Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
  • Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
  • Development of machine learning models
  • Partner with product and engineering team in implementing features and models, and enhancing systems
What We Look For In You
  • Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered.
  • 4+ years of fraud analytics experience in financial services or FinTechs
  • Crypto/Blockchain experience
  • Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python, etc).
  • Successful track record of owning and driving large, complex data analysis projects.
  • Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature.
  • Experience in a fast-paced startup environment with a strong level of initiative; and
  • Ability and willingness to travel as needed.
  • Strong communicator in both writing and speaking
  • Multi-tasking and strong project management skills
Nice To Haves
  • Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.)
Perks & Benefits
  • Competitive total compensation package
  • L&D programs and Education subsidy for employees' growth and development
  • Various team building programs and company events
  • Wellness and meal allowances
  • Comprehensive healthcare schemes for employees and dependants
  • More that we love to tell you along the process!
OKX Statement

The salary range for this position is $223,661.00 to $268,333.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are posted on this site. We are not affiliated with other third-party job boards except Linkedin.com, listings on other sites may be inaccurate or outdated. This is the only source of truth for applications. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

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