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Freelance Data Scientist Risk Jobs (NOW HIRING)

Mudflap

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185K - $225K/yr

We're looking for a versatile Senior Data Scientist, Risk to join our high-impact team. In this role, you will develop the models, insights, and strategies that help us identify, assess, and mitigate ...

Found

Senior Data Scientist, Risk

New York, NY · On-site +1

$163K - $225K/yr

As a Risk Data Scientist at Found, you will be a key player in our Risk team, responsible for identifying, mitigating, and managing financial and operational risks across our product offerings. You ...

Whatnot

Data Scientist, Risk & Fraud

San Francisco, CA · On-site

$194K - $215K/yr

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 ...

WEX

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 ...

eNett

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 ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · Hybrid

$223K - $268K/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 ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

$223K - $268K/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 ...

STRATEGYGEN CO

Principal Data Scientist

Jacksonville, FL · Remote

$130K - $165K/yr

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 ...

STRATEGYGEN CO

Principal Data Scientist

Jacksonville, FL · Remote

$130K - $165K/yr

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 ...

STRATEGYGEN CO

Principal Data Scientist

Jacksonville, FL · Remote

$130K - $165K/yr

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 ...

Cotiviti

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 ...

Strategygen Co.

Principal Data Scientist

$130K - $165K/yr

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 ...

Elder Research

Data Scientist

Arlington, VA

As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...

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Freelance Data Scientist Risk information

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$37.5K

$122.7K

$196.5K

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

As of Jun 15, 2026, the average yearly pay for freelance 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 the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

Is 30 too late for data science?

For a freelance data scientist, starting a career at 30 is not too late, as many professionals transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with building a strong portfolio and network. Age is less important than skills, experience, and continuous learning in this field.

What is the difference between Freelance Data Scientist Risk vs Freelance Data Analyst Risk?

AspectFreelance Data Scientist RiskFreelance Data Analyst Risk
Required CredentialsAdvanced degrees in data science, statistics, or related fields; certifications like CAP, DASCABachelor's or master's in data analysis, statistics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentComplex modeling, predictive analytics, machine learning projectsData cleaning, reporting, visualization, basic statistical analysis
Employer & Industry UsageConsulting firms, finance, healthcare, tech companiesBusiness intelligence, marketing, finance, healthcare

Freelance Data Scientist Risk focuses on advanced analytics and predictive modeling, requiring specialized skills and certifications. Freelance Data Analyst Risk handles data reporting and visualization, often with less technical depth. Both roles serve different client needs but share a focus on risk-related data analysis.

Are data scientists' jobs at risk?

Data scientists' jobs are generally secure due to the increasing reliance on data-driven decision-making across industries. However, automation and advancements in AI tools may change the nature of some tasks, emphasizing the importance of skills in programming, statistics, and domain knowledge to stay competitive.

Can a data scientist do freelancing?

A data scientist can work as a freelancer by offering services such as data analysis, modeling, and machine learning solutions independently. Freelance data scientists typically use tools like Python, R, and SQL, and may need to build a portfolio and establish client relationships to succeed in the gig economy.
What cities are hiring for Freelance Data Scientist Risk jobs? Cities with the most Freelance 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 Freelance Data Scientist Risk jobs? States with the most job openings for Freelance Data Scientist Risk jobs include:
Freelance Data Scientist Risk jobs near you
Senior Data Scientist, Risk

Senior Data Scientist, Risk

Mudflap

Palo Alto, CA • On-site

$185K - $225K/yr

Full-time

Medical, Retirement

Posted 3 days ago

Job description

Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We're a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey.
About the RoleAt Mudflap, we're building a data-driven decision engine that powers every facet of our business-from risk management and underwriting to product innovation and operational excellence. We're looking for a versatile Senior Data Scientist, Risk to join our high-impact team.
In this role, you will develop the models, insights, and strategies that help us identify, assess, and mitigate credit and fraud risk across our platform. You'll lead the development of underwriting capabilities, design predictive models to reduce fraud losses, and uncover opportunities to improve portfolio performance. Working closely with Product, Engineering, Risk, and Finance teams, you'll translate complex data into scalable risk solutions that drive growth while protecting the business.
Work Location:
This role is based in Palo Alto, CA and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely.
To support our team, we offer:
  • Commuter benefits to ease your travel
  • Lunches and snacks to keep you fueled
  • A collaborative, high-growth environment where you'll work closely with talented teammates across the company

What You'll Do
  • Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in your domain.
  • Lead end-to-end machine learning projects from problem formulation through production deployment, including model development, validation, A/B testing, and performance monitoring. solve high-impact business problems such as fraudulent risk assessment, underwriting, customer segmentation, etc.
  • Drive data-driven decision making across cross-functional partnerships - Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders
  • Mentor junior data scientists and analysts and establish best practices - Provide technical leadership, code reviews, and strategic guidance while developing scalable data science methodologies and standards across the organization
  • Lead experimentation strategy and drive product innovation - Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics

What We're Looking For
  • 5+ years of experience in data science, analytics, or related fields.
  • Proficiency in SQL and Python for data manipulation, modeling, and automation.
  • Experience building production-ready models and pipelines.
  • Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference).
  • Excellent communication skills-ability to present complex insights clearly to technical and non-technical stakeholders.
  • Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred.
  • Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential.

Perks and Benefits (What we offer):
  • Competitive salary and equity in a high-growth startup
  • Multiple health benefit options
  • Responsible Time Off
  • 401(k) matching
  • Opportunities and support for major career growth
  • Annual Company offsite event (Mudfest!)

The salary range for this role is $185,000 - 225,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation.
Company Overview (Who we are):
Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex.
Here are the core values that we believe in and look for in new teammates:
  • Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do
  • Make it Count: Act like an owner by focusing on the impact of your work
  • Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates
  • Sweat the Details: We keep our standards high and achieve them by paying attention to every detail
  • Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what's possible

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