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Data Scientist Risk Jobs (NOW HIRING)

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Govcio LLC

Data Scientist

Fort George G Meade, MD · On-site

$156K - $176K/yr

Early data science input during IOC ensures that data collected will be suitable for downstream AI development, reducing risk and accelerating capability maturation during follow-on implementation

Aequor

Data Scientist

Basking Ridge, NJ · Hybrid

The candidate will have direct accountability to build and productionize data science models and AI/ML tools allowing for proactive risk monitoring, pattern detection and predictive analytics. This ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA

Data Scientist The Opportunity: In this role, you will apply data science techniques and methods ... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA

... risk, and develop courses of action. Employ expert judgment, adaptable met hodologies, repeatable ... As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ... As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

Data Scientist The Opportunity: In this role, you will apply data science techniques and methods ... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ...

fphny

Data Scientist

Queens, NY · Hybrid

$78K - $80K/yr

The Data Scientist will also work closely with unit members on efforts to identify and maintain a large set of risk indicators to optimize health risk identification among the student population.

Southern Company

Data Scientist

Birmingham, AL · On-site

Specifically, this position is responsible for supporting Commercial Operations through risk analysis, data modeling, custom tool development and data science/analytics solutions which requires a ...

Southern Company

Data Scientist

Birmingham, AL · On-site

Specifically, this position is responsible for supporting Commercial Operations through risk analysis, data modeling, custom tool development and data science/analytics solutions which requires a ...

Rich Data Co

Senior Data Scientist

San Jose, CA

Design,present& documentAI-basedinitiatives to our clients,typicallybanking and risk executives ... years of data science experience,ideally in credit riskor financial services. * Experience ...

Sidram Technologies

Data Scientist

Seattle, WA · On-site

Develop ML-based risk scoring models across multiple fraud and exception scenarios, replacing ... hands-on Data Science experience with a strong foundation in classical ML * Proficiency in ...

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How much do data scientist risk jobs pay per year?

As of May 31, 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 job?

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 are the key skills and qualifications needed to thrive in the Data Scientist Risk position, and why are they important?

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 types of projects or problems do Data Scientist Risk professionals 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.
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What cities are hiring for Data Scientist Risk jobs? Cities with the most Data Scientist Risk job openings:
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Data Scientist Risk jobs near you
Infographic showing various Data Scientist Risk job openings in the United States as of May 2026, with employment types broken down into 11% As Needed, 25% Full Time, 44% Part Time, 3% Temporary, 14% Contract, and 3% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

MM International

New York, NY • Remote

Contractor

Posted 21 days ago

Job description

Title:  Data Scientist

Location:  Remote

Duration 4-6 months

The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies.
KEY RESPONSIBILITIES:
The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the studies’ complexity and studies’ development stage:
• Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies.
• Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets.
• Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review.
• Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient.
• Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes.
• Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics.
Qualifications
Education & Experience
• PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field.
• Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example:
o PhD: 3+ years
o MS: 5+ years
o BA/BS: 8+ years
Technical – Required
• Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets).
• Hands-on experience working with clinical trial data.
• Proficiency with Microsoft Word, Excel, and PowerPoint.
Technical – Preferred / Strong Plus
• Experience with RAVE EDC.
• Awareness or working knowledge of CDISC, CDASH, SDTM standards.
• Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms.