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Bayesian Networks Jobs in Boston, MA (NOW HIRING)

Zoox

Senior Product Security Engineer - QRA

Boston, MA · On-site

$217K - $307K/yr

EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior experience with the security analysis of complex embedded systems and a demonstrated skill in turning the ...

Zoox

Product Security Engineer - QRA

Boston, MA · On-site

$191K - $271K/yr

  • Medical

  • Life

  • PTO

EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior experience with the security analysis of complex embedded systems and a demonstrated skill in turning the ...

Zoox

Senior Product Security Engineer - QRA

Boston, MA

$217K - $307K/yr

  • Medical

  • Life

  • PTO

EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior experience with the security analysis of complex embedded systems and a demonstrated skill in turning the ...

Zoox

Product Security Engineer - QRA

Boston, MA

$191K - $271K/yr

EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks) * Prior experience with the security analysis of complex embedded systems and a demonstrated skill in turning the ...

Amazon

Applied Scientist II - AMZ27496.1

Boston, MA · On-site

$161K - $193K/yr

Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data.

Amazon

Applied Scientist II - AMZ27057.1

Boston, MA · On-site

$161K - $193K/yr

Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data.

Ameriprise Financial

Senior Data Scientist

Boston, MA

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Competence using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar ...

Ameriprise Financial

Senior Data Scientist

Boston, MA · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Competence using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar ...

All JobsBayesian Networks JobsBayesian Networks Jobs in Boston, MA

Bayesian Networks information

What are Bayesian networks?

Bayesian Networks are probabilistic graphical models that represent a set of variables and their conditional dependencies using a directed acyclic graph. They are used to model uncertainty in complex systems by encoding relationships between variables and allowing for efficient inference and reasoning. These networks are widely applied in fields such as machine learning, diagnostics, decision support, and bioinformatics to help predict outcomes and understand causal relationships.

What are some common challenges faced by professionals working with Bayesian networks in real-world projects?

Professionals working with Bayesian Networks often encounter challenges such as handling incomplete or noisy data, defining accurate conditional dependencies, and ensuring computational efficiency for large or complex networks. Collaboration with domain experts is crucial to correctly structure the network and validate assumptions. Additionally, integrating Bayesian models with existing data systems and effectively communicating probabilistic results to non-technical stakeholders are important aspects of the role.

What are the key skills and qualifications needed to thrive as a Bayesian networks specialist, and why are they important?

To thrive as a Bayesian Networks Specialist, you need a strong background in statistics, probability theory, and machine learning, often supported by a degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, and experience using specialized libraries like pgmpy or bnlearn, are typically required. Strong analytical thinking, problem-solving ability, and effective communication skills set standout professionals apart in this role. These competencies are crucial for designing, implementing, and interpreting Bayesian models that inform critical decision-making in complex domains.

What is the difference between Bayesian Networks vs Data Analysts?

AspectBayesian NetworksData Analysts
Required CredentialsStatistics, Data Science, Computer Science degrees; certifications in probabilistic modelingStatistics, Data Science, Business Analytics degrees; certifications in data analysis tools
Work EnvironmentResearch, modeling, and algorithm development in tech or research firmsData interpretation, reporting, and visualization across various industries
Industry UsageUsed for probabilistic reasoning, decision support, and machine learningUsed for data interpretation, reporting, and business insights

Bayesian Networks focus on probabilistic modeling and decision-making algorithms, often requiring advanced statistical knowledge. Data Analysts primarily interpret and visualize data to inform business decisions. While both roles involve data, Bayesian Networks are more technical and model-driven, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Bayesian Networks jobs in Boston, MA?

For Bayesian Networks jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Bayesian Networks jobs in Boston, MA look for?

The top searched job categories for Bayesian Networks jobs in Boston, MA are:

Bayesian Networks jobs near you
Infographic showing various Bayesian Networks job openings in Boston, MA as of August 2026, with employment types broken down into 44% Full Time, 53% Part Time, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Senior Product Security Engineer - QRA

Zoox

Boston, MA • On-site

$217K - $307K/yr

Full-time

Posted 12 days ago

Job description

The Product Security Threat Analysis and Security Standards team is responsible for conducting structured security analyses of Zoox products and applying security standards judiciously throughout the System Development Life Cycle at Zoox. In this role, you'll bring a robust background in systems engineering, coupled with a demonstrated passion and concrete expertise in cybersecurity.

You should possess proven skills in translating your analysis into high-quality written deliverables. Additionally, you should have a demonstrated ability to identify and evaluate threats across both wireless and wired communication channels in automotive systems.

In this role, you will:
  • Perform Quantitative Risk Assessment by quantifying security related safety risks, collaborating with cross functional teams particularly safety teams to ensure alignment with safety and security objectives while supporting risk-informed engineering decisions.
  • Carry out security analysis, threat modeling, and risk assessment for a complex product ecosystem consisting of a custom-designed and built vehicle fleet as well as a portfolio of cloud services.
  • Define cybersecurity requirements and maintain a catalog of cybersecurity controls to establish secure baselines.
  • Interface with a multitude of engineering teams within Product Security as well as across software and hardware engineering. Build and maintain a strong understanding of the underlying engineering constraints and factor that understanding into the analysis and recommendations.
  • Analyze existing and emerging standards in cybersecurity (both general and domain-specific) and distill the analysis into a plan for adoption that is well-grounded and focused on tangible business impact.
Qualifications
  •  Master’s degree in CS or related engineering field (software, hardware, systems) and 7+ years of experience
  • A strong general systems engineering background along with a demonstrated passion and concrete expertise in cybersecurity
  • Prior experience with quantitative risk assessment frameworks (eg: EPSS, Attack trees/graph quantification, Monte Carlo simulations, Bayesian networks)
  • Prior experience with the security analysis of complex embedded systems and a demonstrated skill in turning the analysis into high-quality written deliverables
  • Pragmatic adoption of AI/LLM toolchains for security analysis and authoring high quality regulatory work products
 
Bonus Qualifications
  • Direct, demonstrated experience with (including the practical application of) ISO 21434, UNECE R155, NIST CSF, SOC2 Type2 (and similar frameworks and standards) will be considered an advantage.
  • Experience with the security analysis of complex cyber-physical systems and automotive Systems on Chips (SoCs), including on-chip security features and various onboard communication interfaces (e.g., UDS, JTAG, CAN/LIN, I2C, SPI)
  • Familiarity with common cloud deployment architecture and frameworks
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.