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Probabilistic Modeling Jobs in Raleigh, NC (NOW HIRING)

Application areas include software tool development, physics-based modeling, machine learning, simulation and optimization, probabilistic modeling, computer vision, and intelligent agents. The ...

Senior Research Engineer - AI/ML

Raleigh, NC · On-site

$181K/yr

Application areas include software tool development, physics-based modeling, machine learning, simulation and optimization, probabilistic modeling, computer vision, and intelligent agents. The ...

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science ...

Genetics Tutor

Durham, NC · Remote

$40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science ...

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science ...

Probabilistic Modeling information

What is the difference between Probabilistic Modeling vs Data Scientist?

AspectProbabilistic ModelingData Scientist
Required CredentialsDegree in statistics, mathematics, or related fields; knowledge of probability theoryDegree in computer science, statistics, or related fields; programming skills
Work EnvironmentResearch-focused, often in analytics or data science teamsCross-functional teams, including business, engineering, and analytics
Industry UsageUsed in analytics, finance, healthcare, and research for modeling uncertaintyApplied across industries for data analysis, predictive modeling, and decision-making

Probabilistic Modeling focuses on developing models based on probability theory to understand uncertainty, while Data Scientists utilize a broader set of skills including programming, data analysis, and machine learning to extract insights from data. Both roles often overlap but serve different primary purposes within data-driven organizations.

What is probabilistic modeling?

Probabilistic modeling is a mathematical framework used to represent uncertain events or data by using probability distributions. Instead of giving a single outcome, it accounts for variability and randomness, allowing predictions and inferences even when information is incomplete or ambiguous. Probabilistic models are widely used in fields like statistics, machine learning, finance, and engineering to analyze data, make forecasts, and support decision-making under uncertainty.

What is probabilistic modelling?

Probabilistic modeling is a technique used in probabilistic modeling roles to develop mathematical models that incorporate uncertainty and randomness. It involves using statistical methods and tools like Bayesian inference or Markov processes to analyze data and make predictions. Professionals in this field often work with programming languages such as Python or R and require strong analytical skills.

What jobs make $1,000,000 a year?

In the field of probabilistic modeling, highly experienced data scientists, machine learning engineers, or quantitative researchers working in finance, hedge funds, or tech companies can earn $1,000,000 or more annually. These roles often require advanced degrees, specialized skills in statistical analysis and programming, and experience with large-scale data and modeling tools. Compensation at this level typically includes base salary, bonuses, and equity components.

What are the key skills and qualifications needed to thrive as a Probabilistic Modeler, and why are they important?

To thrive as a Probabilistic Modeler, you need a strong background in mathematics, statistics, and probability theory, often supported by a degree in applied mathematics, statistics, or a related field. Proficiency with programming languages like Python or R, and experience with statistical modeling tools and software such as TensorFlow or PyMC, are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex models into actionable insights. These skills are vital for designing accurate models, interpreting uncertainty, and supporting data-driven decisions across various industries.

What jobs pay 500,000 a year in the US?

In the field of probabilistic modeling, senior roles such as Lead Data Scientist or Quantitative Research Director can reach or exceed $500,000 annually, especially in finance, technology, or consulting firms. These positions typically require advanced skills in statistical analysis, machine learning, and programming, along with extensive experience and often a master's or Ph.D. degree.

What jobs make $10,000 a month without a degree?

In probabilistic modeling and related data science roles, professionals can earn $10,000 or more monthly through freelance consulting, specialized contract work, or high-demand positions in finance, tech, or analytics that value skills over formal degrees. Success often depends on expertise in statistical software, programming languages like Python or R, and a strong portfolio of projects. Building a reputation and gaining experience can lead to high earnings without a traditional degree.

What are some common challenges faced by professionals in probabilistic modeling roles, and how can they be managed?

Professionals in probabilistic modeling often encounter challenges such as working with incomplete or noisy data, choosing the right model complexity, and ensuring model interpretability for stakeholders. Managing these challenges involves strong statistical knowledge, regular collaboration with domain experts, and effective communication to translate complex results for non-technical team members. Staying up-to-date with the latest tools and methodologies, and participating in peer reviews, can also help maintain model accuracy and reliability.
What are popular job titles related to Probabilistic Modeling jobs in Raleigh, NC? For Probabilistic Modeling jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Probabilistic Modeling jobs in Raleigh, NC look for? The top searched job categories for Probabilistic Modeling jobs in Raleigh, NC are:

Senior Research Engineer - AI/ML

Berriehill Research

Raleigh, NC

$181K/yr

Full-time

Posted 6 days ago


Job description

Applied Research Associates, Inc. (ARA) is actively seeking a highly qualified Research Engineer for the development of advanced AI/ML algorithms for the Intelligence and Defense communities. Application areas include software tool development, physics-based modeling, machine learning, simulation and optimization, probabilistic modeling, computer vision, and intelligent agents. The scientist / engineer will join a multi-disciplinary collaborative team of engineers and scientists.

We are seeking an experienced Research Engineer to join our team. The ideal candidate will have an active interest in applying math/statistics/physics/engineering concepts to solve multi-disciplinary problems. Candidate will have strong analytical skills and will be capable of translating ideas and proposed solutions into software tools and algorithms. The candidate should be familiar with improving/optimizing/tuning existing algorithms as well as development of new algorithms from scratch. This will include software design, software development, and debugging / issue resolution. The candidate should demonstrate a hands-on approach to problem solving and must be willing to actively participate in evaluation of algorithm and system performance. Strong critical thinking, problem solving, and debugging skills are required.

Scientists / engineers who are passionate about applying their expertise to solve problems of national importance, have a strong entrepreneurial spirit, and are seeking opportunities for personal and professional growth in a stable environment are strongly encouraged to apply.

Senior Research Engineer – AI/ML Position Requirements:

  • U.S. Citizenship (No exceptions; green card holders are not eligible)
  • Current TS/SCI clearance or TS/SCI eligible
  • BS in Engineering, Computer Science, Physics, Mathematics, or a related field with 10-12 years of relevant work experience
  • Experience in one or more of the following areas: machine learning, physics-based modeling, simulation and optimization, uncertainty quantification, surrogate modeling and model reduction, computer vision, and intelligent agents
  • Strong foundation in software development and experience with Python, Java, and/or C++
  • Experience going from problem statement to prototype to production-ready algorithms
  • Strong communication and collaboration skills, capable of working effectively in a dynamic, team-oriented environment

Senior Research Engineer – AI/ML Preferences:

Above all, we value passion, a continuous desire to learn, and teamwork. We are confident that if you possess the right attitude, work ethic, and skill set, you will succeed in the role. In addition to the experience and skills above, if you have any of the following, you will be able to accelerate your effectiveness and impact.

  • PhD or MS in Engineering, Computer Science, Physics, Mathematics, or a related field
  • Experience in cloud-based, parallel, or distributed computing.
  • Experience developing generative AI, agentic AI, and/or LLM-based systems
  • Experience leading small teams of researchers and engineers
  • Experience with proposal development and sponsor interactions
  • Ability and desire to quickly learn new domains.

Who is ARA?  

Do you want to work for a purpose? Applied Research Associates, Inc. (aka ARA) is an employee-owned international research and engineering company. We have been providing technically superior solutions to complex and challenging problems in the physical sciences since 1979. ARA has over 2,200 employee-owners and continues to grow rapidly. Together, our offices throughout the U.S. and Canada provide a broad range of technical expertise in defense, civil, and health technologies, computer software and simulation, systems analysis, environmental technologies, and testing and measurement. 

ARA also prides itself, on having a challenging culture where innovation & experimentation are the norm. The motto, “Engineering and Science for Fun and Profit” sums up the ARA experience. Employee ownership ensures you have a voice in what happens in the company. We are also very proud of our Women’s Initiative Network (WIN), whose purpose is to motivate, support, and encourage professional career development for women to maximize career and professional accomplishments.  

To find out more about what the Software Enterprise Division has to offer, visit our website at: https://www.ara.com/benefits/