1

Data Scientist Risk Jobs (NOW HIRING)

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 B oston - Preferred Onsite-CA/GA/TX -Optional Onsite hub locations Employment Type: Exempt Full Time Compensation: $112,000 - $155,000 + Full Benefit Package ...

Data Scientist, Fraud Risk

New York, NY ยท On-site +1

$170K - $200K/yr

The Team The Risk team at Imprint builds the models, policies, and analytical systems that protect our credit card programs while delivering a fast and seamless member experience. As a Data Scientist ...

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 ...

Neara provides network-scale structural, loading, and contextual data across complete overhead electrical systems. As the Principal Research Scientist - Risk, you will use this information to build ...

Neara provides network-scale structural, loading, and contextual data across complete overhead electrical systems. As the Principal Research Scientist - Risk, you will use this information to build ...

Neara provides network-scale structural, loading, and contextual data across complete overhead electrical systems. As the Principal Research Scientist - Risk, you will use this information to build ...

Tharros is seeking a Data Scientist to serve as the program's senior analytical authority, leading ... Design, build, and sustain analytical models that support COA analysis, risk prioritization ...

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 ...

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 ...

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 ...

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 ...

Tharrosis seeking a Data Scientist to serve as the program's senior analytical authority, leading ... Design, build, and sustain analytical models that support COA analysis, risk prioritization ...

New

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 ...

Design, build, and sustain analytical models that support COA analysis, risk prioritization ... data science and application development activities.

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

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 ...

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 ...

Showing results 21-40

Data Scientist Risk information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist risk jobs pay per year?

As of Sep 12, 2026, the average yearly pay for 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 data scientist risk?

A Data Scientist Risk job involves using data analysis, machine learning, and statistical modeling to assess and mitigate financial, credit, or operational risks. These professionals work with large datasets to identify patterns, detect anomalies, and build predictive models that help organizations make informed decisions. They collaborate with risk management teams and stakeholders to develop strategies for minimizing potential losses while ensuring regulatory compliance. Strong analytical skills, proficiency in programming languages like Python or R, and knowledge of risk modeling techniques are essential for this role.

What types of projects or problems does a data scientist risk typically work on?

Data Scientist Risk professionals typically work on projects involving risk assessment, fraud detection, credit scoring, market risk analysis, and regulatory compliance. Their day-to-day responsibilities often include analyzing large datasets to identify patterns, building predictive models, and presenting insights to risk managers or executives to support risk mitigation strategies. You'll often collaborate with cross-functional teams including finance, IT, and compliance to develop innovative risk solutions and improve organizational decision-making. The work environment is dynamic and intellectually challenging, offering opportunities to continuously learn and make an impact in critical business areas.

What are the key skills and qualifications needed to thrive as a data scientist risk?

To excel as a Data Scientist Risk, you need strong analytical skills, advanced knowledge of statistics, programming (typically in Python or R), and a relevant degree such as mathematics, finance, or data science. Familiarity with machine learning libraries, data visualization tools, and risk modeling software like SAS or SQL is commonly required, and certifications such as FRM or CFA are advantageous. Excellent problem-solving, critical thinking, and clear communication abilities are vital for interpreting complex data and presenting actionable insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting decision-making, and ensuring regulatory compliance in fast-paced business environments.

What cities are hiring for Data Scientist Risk jobs?

Cities with the most 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 Data Scientist Risk jobs?

States with the most job openings for Data Scientist Risk jobs include:

What are popular job titles related to Data Scientist Risk jobs?

For Data Scientist Risk jobs, the most frequently searched job titles are:

Infographic showing various Data Scientist Risk job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $122,738 per year, or $59 per hour.

Risk Data Scientist

Boston, MA โ€ข On-site

Flexcar
Personal Servicesย โ€ขย 51 - 200 employees

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

Job Title: Risk Data Scientist

Location: Downtown Boston, MA

Employment Type: Exempt Full Time โ€“ 5 days in office - 50 hours

Compensation: $112,000 - $155,000 + Full Benefit Package Day One

* This position is not eligible for employer-sponsored work authorization. Applicants must be legally authorized to work in the United States without requiring current or future visa sponsorship, including H-1B, TN, or other employment-based sponsorship *

At Flexcar, our mission is to make car ownership flexible, affordable, and enjoyable for everyone. Weโ€™ve created a month-to-month option that is more affordable than buying and more flexible than leasing. Our members are saving money and choosing a model that fits how real life actually works. Building a better model of car ownership takes more than technology. It takes people who value clarity, fairness, and real human experience.

About the Role

Flexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. Weโ€™re looking for someone who can own the full lifecycle of our risk modeling stack: building and calibrating models, managing the platforms they run on, and translating results into actionable recommendations. This is a handsโ€‘on individual contributor role. Youโ€™ll work closely with our Risk, Finance, Product, and Operations teams and have significant influence over how we balance growth against risk exposure. The models you build matter, and youโ€™ll see their results in real performance data. Flexcarโ€™s unique set of data provides an exciting arena to find signals in new and creative ways. The role spans modeling, platform management, and analytics, which means no two weeks look the same. If you want immediate impact and ownership across a full risk stack, this is the fit for you.

What Youโ€™ll Do Risk Modeling & Model Development with AI
  • Build, refine, and maintain eligibility models and risk scoring frameworks used to make realโ€‘time application decisions using the latest AI tools
  • Balance multiple initiatives at once, collaborating across the organization to rapidly solve problems through applied data science
  • Own calibration and ongoing improvement of our Safe Driving Score and related behavioral risk models
  • Lead feature selection, target variable development, and model validation
  • Collaborate with stakeholders to set risk thresholds that balance growth with loss targets
Model Platform & Vendor Integration
  • Manage our modeling environment and maintain our orchestration platform, where all risk models and decision workflows live
  • Monitor data quality and technical integrations with data vendors across fraud, credit, debt, public records, and driving history, working with our Data Engineering and data pipelines are current and models are ingesting the right inputs
  • Partner with engineering and vendor technical teams when API changes or new data sources require updates that would benefit our modeling strength
Monitoring & Analysis
  • Monitor the performance of deployed risk frameworks against key metrics
  • Identify drift, anomalies, or opportunities for improvement and bring forward clear recommendations
  • Contribute to ad hoc analysis supporting risk strategy decisions
What Weโ€™re Looking For โ€“ Required
  • Bachelorโ€™s degree in Economics, Mathematics, Business or a related discipline preferred
  • 3+ years of experience in a data science or quantitative modeling role with proven, quantifiable output
  • Comfortable leaning in to AIโ€‘first solutions, with experience using the latest AI tools to drive results at a high velocity
  • Strong Python and SQL skills; comfortable working with messy, realโ€‘world data
  • Handsโ€‘on experience building and deploying predictive models in a production environment
  • Ability to work independently and own outcomes, not just tasks
Nice to Have
  • Experience with AI data science platforms and orchestration platforms
  • Experience with behavioral or telematicsโ€‘based risk signals is a strong plus.
  • Familiarity with thirdโ€‘party data vendors used in risk decisioning (bureau data, identity verification, motor vehicle records, etc.)
  • Experience in a startup or highโ€‘growth environment where the work is broad and the tooling is still evolving
What Tops Off the Tank
  • Rest & Relaxation: Flexible PTO policy.
  • Future Savings: Benefit from a 401(k) plan with company match from day one.
  • Benefits: Excellent, lowโ€‘cost healthcare coverage including: medical, dental, vision, eligibility day one.
  • Drive a Flexcar! Discounted employee rate on Flexcar products and no annual membership fee.
  • Weekly Pay
  • And other amazing perks!

Flexcar is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Flexcar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

#J-18808-Ljbffr