Senior Data Scientist - Risk & Compliance Domain (Job ID: 2098) Location: Remote (but need someone ... Contractor (Contract Only) Role Responsibilities: Project Management: Leading and managing end to ...
Senior Data Scientist - Risk & Compliance Domain (Job ID: 2098) Location: Remote (but need someone ... Contractor (Contract Only) Role Responsibilities: Project Management: Leading and managing end to ...
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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 ...
Staff Data Scientist, Risk
$186K - $230K/yr
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 ...
Staff Data Scientist, Risk
$186K - $230K/yr
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 ...
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OR · On-site
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Sr Data Scientist, Risk Strategy
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$223.66K - $268.33K/yr
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New York, NY · On-site
$200K - $230K/yr
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About the Role Contract Data Scientist role Onsite/Hybrid in South San Francisco. This is a Hybrid role requiring 3 days a week ONSITE in South San Francisco from Day 1. An ONSITE interview is also ...
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Data Scientist - Risk Analytics & AI Strategy Lead
New York, NY · On-site
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HowYou'llMake an Impact as aData Scientist - Risk Analytics & AI Strategy Lead: S trategic AI Use Case Identification & Refinement - Manage intake, prioritization, and refinement of data analytics ...
Data Scientist - Risk Analytics & AI Strategy Lead
New York, NY · On-site
$200K - $230K/yr
HowYou'llMake an Impact as aData Scientist - Risk Analytics & AI Strategy Lead: S trategic AI Use Case Identification & Refinement - Manage intake, prioritization, and refinement of data analytics ...
Principal Data Scientist
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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 ...
Quick apply
Principal Data Scientist
Jacksonville, FL · Remote
$130K - $165K/yr
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Data Scientist Transmission ROW Risk Analytics
Dublin, CA · Hybrid
$100 - $120/hr
Dublin, CA (Hybrid 1 2 days/week onsite; local candidates only) Duration: 12 months on W2 contract Job Summary Seeking a Data Scientist to develop quantitative risk models and predictive analytics ...
Data Scientist Transmission ROW Risk Analytics
Dublin, CA · Hybrid
$100 - $120/hr
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Contract Data Scientist Risk information
See salary details
$37.5K - $52K
2% of jobs
$52K - $66.4K
3% of jobs
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
$37.5K
$122.7K
$196.5K
How much do contract data scientist risk jobs pay per year?
What are the key skills and qualifications needed to thrive as a Contract Data Scientist in Risk, and why are they important?
How does a Contract Data Scientist specializing in risk typically collaborate with cross-functional teams within an organization?
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Full-time
Posted 18 days ago
Job description
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