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Model Validation Remote Jobs in Boston, MA (NOW HIRING)

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Apply core model-validation techniques such as train/validation/test splits, cross-validation ...

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Apply core model-validation techniques such as train/validation/test splits, cross-validation ...

Deloitte

System Test and Validation Lead

Boston, MA · On-site +1

This compensation range is specific to a remote role and takes into account the wide range of ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

Deloitte

System Test and Validation Lead

Boston, MA · On-site +1

This compensation range is specific to a remote role and takes into account the wide range of ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

Deloitte

System Test and Validation Lead

Boston, MA · On-site +1

This compensation range is specific to a remote role and takes into account the wide range of ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

Massgeneralbrigham

Bioinformatician I

Boston, MA · On-site +1

$75K - $109K/yr

Develop and validate multi-omic risk prediction models in a series of large cohorts. Design and ... Additional Job Details (if applicable) Remote Type Hybrid Work Location 1620 Tremont Street ...

YO AI Labs

Hardware Expert - Remote

Boston, MA · Remote

$50 - $100/hr

Global, Fully Remote Schedule: Flexible, ~15 hours/week Role Summary We are seeking skilled ... Export and validate STEP and other solid-model formats. * Verify dimensions, geometry, topology ...

YO AI Labs

Hardware Expert - Remote

Boston, MA · Remote

$50 - $100/hr

Global, Fully Remote Schedule: Flexible, ~15 hours/week Role Summary We are seeking skilled ... Export and validate STEP and other solid-model formats. * Verify dimensions, geometry, topology ...

YO AI Labs

SolidWorks Expert - Remote

Boston, MA · Remote

$40 - $130/hr

... model training. * Translate engineering requirements into structured CAD data suitable for AI learning and validation. * Collaborate remotely with cross-functional teams, providing clear written ...

YO AI Labs

SolidWorks Expert - Remote

Boston, MA · Remote

$40 - $130/hr

... model training. * Translate engineering requirements into structured CAD data suitable for AI learning and validation. * Collaborate remotely with cross-functional teams, providing clear written ...

YO AI Labs

SolidWorks Expert - Remote

Boston, MA · Remote

$40 - $130/hr

... model training. * Translate engineering requirements into structured CAD data suitable for AI learning and validation. * Collaborate remotely with cross-functional teams, providing clear written ...

YO AI Labs

Biostatistician Expert - Remote

Boston, MA · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

YO AI Labs

Biostatistician Expert - Remote

Boston, MA · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

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All JobsModel Validation JobsModel Validation Remote JobsModel Validation Remote Jobs in Boston, MA

Model Validation Remote information

See Boston, MA salary details

$24

$56

$84

How much do model validation remote jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for model validation remote in Boston, MA is $56.49, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $68.70 per hour, depending on experience, location, and employer.

What is model validation in a remote job context?

Model validation, especially in a remote setting, involves evaluating and verifying the accuracy, performance, and reliability of statistical or machine learning models from a location outside of a traditional office. Professionals in this role typically assess whether models meet regulatory requirements, function as intended, and are free from biases or errors. Remote model validators use various tools and techniques to conduct tests, write reports, and communicate findings with stakeholders via digital platforms. This work is essential in sectors like finance, insurance, and tech, where robust models drive critical decisions. Successful remote model validation requires strong analytical skills, clear communication, and proficiency with data analysis tools.

What are the key skills and qualifications needed to thrive as a model validation remote?

To thrive as a Model Validation Remote, you need a strong background in quantitative disciplines such as mathematics, statistics, or finance, typically supported by a relevant degree. Proficiency with statistical software (like SAS, R, or Python), model risk management frameworks, and familiarity with regulatory guidelines (such as SR 11-7) are commonly required. Analytical thinking, attention to detail, and strong written communication are crucial soft skills in this role. These skills ensure accurate model assessments, regulatory compliance, and effective communication of complex findings to stakeholders.

What are some common challenges faced by professionals in remote model validation roles, and how can they be addressed?

Remote model validation professionals often encounter challenges such as maintaining clear communication with model developers and stakeholders, accessing secure data environments, and staying updated with evolving regulatory standards. To address these, it's important to leverage robust collaboration tools, schedule regular check-ins with cross-functional teams, and participate in ongoing training or knowledge-sharing sessions. Establishing clear documentation protocols and ensuring secure remote access to necessary data can also help maintain productivity and compliance.

What is the difference between Model Validation Remote vs Model Validation on-site?

AspectModel Validation RemoteModel Validation on-site
Work EnvironmentRemote, home-basedOn-site, office or client location
Required CredentialsSimilar certifications, e.g., CFA, FRM, or relatedSame as remote, often with additional in-person requirements
Industry UsageFinancial institutions, banks, asset managersSame industries, with in-person collaboration
Work FlexibilityHigh, flexible hours and locationLess flexible, fixed hours and location

Both remote and on-site model validation roles require similar credentials and industry knowledge. The main difference lies in the work environment and flexibility, with remote positions offering greater convenience and location independence, while on-site roles facilitate direct collaboration and immediate access to resources.

What are the most commonly searched types of Model Validation jobs in Boston, MA?

The most popular types of Model Validation jobs in Boston, MA are:

What are popular job titles related to Model Validation Remote jobs in Boston, MA?

For Model Validation Remote jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Model Validation Remote jobs in Boston, MA look for?

The top searched job categories for Model Validation Remote jobs in Boston, MA are:

Model Validation Remote jobs near you

Data Science Intern

FocusKPI Inc.

Boston, MA • On-site, Remote

Full-time

Posted 10 days ago

Job description

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote | Internship | Full-time | 3 months
About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.
Responsibilities
  • Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
  • Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
  • Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
  • Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
  • Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
  • Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
  • Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
  • Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications
  • Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
  • Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
  • Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
  • Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
  • Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
  • Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
  • Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications
  • Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
  • Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
  • Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
  • Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
  • Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
  • Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

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