The ideal candidate will have deep hands-on experience with econometric techniques, probabilistic modeling, and time series forecasting frameworks, along with strong Python and SQL skills. Key ...
The ideal candidate will have deep hands-on experience with econometric techniques, probabilistic modeling, and time series forecasting frameworks, along with strong Python and SQL skills. Key ...
Quantitative Risk Modeler
Vienna, VA · On-site
$77/hr
Machine learning & probabilistic modeling * Cybersecurity analytics * Data engineering + visualization Core Responsibilities (implied) Although not explicitly listed, based on the requirements, you'd ...
Quantitative Risk Modeler
Vienna, VA · On-site
$77/hr
Machine learning & probabilistic modeling * Cybersecurity analytics * Data engineering + visualization Core Responsibilities (implied) Although not explicitly listed, based on the requirements, you'd ...
Candidates must demonstrate expertise in probabilistic modeling and active use of AI tools. The position is flexible, remote within the U.S., with approximately 25% travel required. Competitive ...
Candidates must demonstrate expertise in probabilistic modeling and active use of AI tools. The position is flexible, remote within the U.S., with approximately 25% travel required. Competitive ...
Quantitative Risk Modeler -- 16757
Vienna, VA · On-site
$60 - $72/hr
Machine learning & probabilistic modeling * Cybersecurity analytics * Data engineering + visualization Core Responsibilities (implied) Although not explicitly listed, based on the requirements, you'd ...
Quantitative Risk Modeler -- 16757
Vienna, VA · On-site
$60 - $72/hr
Machine learning & probabilistic modeling * Cybersecurity analytics * Data engineering + visualization Core Responsibilities (implied) Although not explicitly listed, based on the requirements, you'd ...
Senior Staff AI Research Scientist
$116.10K - $148K/yr
The team conducts applied and fundamental research across areas including decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems ...
Senior Staff AI Research Scientist
$116.10K - $148K/yr
The team conducts applied and fundamental research across areas including decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems ...
Senior Staff AI Research Scientist
Mountain View, CA · On-site
$116.20K - $148K/yr
The team conducts applied and fundamental research across areas including decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems ...
Senior Staff AI Research Scientist
Mountain View, CA · On-site
$116.20K - $148K/yr
The team conducts applied and fundamental research across areas including decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems ...
Senior Staff AI Research Scientist
$116.10K - $148K/yr
The team conducts applied and fundamental research across areas including decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems ...
Senior Staff AI Research Scientist
$116.10K - $148K/yr
The team conducts applied and fundamental research across areas including decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems ...
Staff Machine Learning Engineer
San Francisco, CA · On-site +1
... probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.**What You'll Need**- Strong problem-solving skills, with expertise in ML methodologies- Experience in ...
Staff Machine Learning Engineer
San Francisco, CA · On-site +1
... probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.**What You'll Need**- Strong problem-solving skills, with expertise in ML methodologies- Experience in ...
Staff Machine Learning Engineer
Sunnyvale, CA · On-site +1
... probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.**What You'll Need**- Strong problem-solving skills, with expertise in ML methodologies- Experience in ...
Staff Machine Learning Engineer
Sunnyvale, CA · On-site +1
... probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.**What You'll Need**- Strong problem-solving skills, with expertise in ML methodologies- Experience in ...
Staff Geophysicist
Redwood City, CA · On-site
$185K - $250K/yr
By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...
Quick apply
Staff Geophysicist
Redwood City, CA · On-site
$185K - $250K/yr
By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...
Senior Data Scientist
Menlo Park, CA · On-site
Responsibilities : • Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). • ...
Senior Data Scientist
Menlo Park, CA · On-site
Responsibilities : • Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). • ...
Staff Geophysicist
Redwood City, CA · On-site
$185K - $250K/yr
By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...
Staff Geophysicist
Redwood City, CA · On-site
$185K - $250K/yr
By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...
RF Modeling Manager
Richardson, TX · On-site
$140K - $170K/yr
Architect and develop AI-driven models for indoor localization, including fingerprinting, similarity scoring, probabilistic grid-cell prediction, and lightweight sensor fusion Understand the Physics:
RF Modeling Manager
Richardson, TX · On-site
$140K - $170K/yr
Architect and develop AI-driven models for indoor localization, including fingerprinting, similarity scoring, probabilistic grid-cell prediction, and lightweight sensor fusion Understand the Physics:
Statistician
$70K - $80K/yr
Design and implement Monte Carlo simulations to model probabilistic outcomes * Develop quantitative and statistical models based on defined parameters and assumptions * Validate model accuracy ...
Statistician
$70K - $80K/yr
Design and implement Monte Carlo simulations to model probabilistic outcomes * Develop quantitative and statistical models based on defined parameters and assumptions * Validate model accuracy ...
RF Modeling Manager
$140K - $170K/yr
Architect and develop AI-driven models for indoor localization, including fingerprinting, similarity scoring, probabilistic grid-cell prediction, and lightweight sensor fusion Understand the Physics:
RF Modeling Manager
$140K - $170K/yr
Architect and develop AI-driven models for indoor localization, including fingerprinting, similarity scoring, probabilistic grid-cell prediction, and lightweight sensor fusion Understand the Physics:
Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making. * Utilize Markov chains and stochastic processes for modeling sequential or ...
Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making. * Utilize Markov chains and stochastic processes for modeling sequential or ...
Prognostics & Health Monitoring Engineer
$150K - $250K/yr
Develop and productionize probabilistic models for failure risk, degradation, and remaining useful life * Analyze large-scale telemetry, logs, and service data to identify systemic drivers of ...
Prognostics & Health Monitoring Engineer
$150K - $250K/yr
Develop and productionize probabilistic models for failure risk, degradation, and remaining useful life * Analyze large-scale telemetry, logs, and service data to identify systemic drivers of ...
Job Summary We are currently seeking a senior-level Probabilistic Risk Analyst/Modeler. This ... The Hazard Modeling Team within CBRNE Defense provides its customers with technical risk analyses ...
Job Summary We are currently seeking a senior-level Probabilistic Risk Analyst/Modeler. This ... The Hazard Modeling Team within CBRNE Defense provides its customers with technical risk analyses ...
Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making. * Utilize Markov chains and stochastic processes for modeling sequential or ...
Quick apply
Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making. * Utilize Markov chains and stochastic processes for modeling sequential or ...
Strong modeling and experimentation skills (Python, SQL, Bayesian / probabilistic modeling). * Comfort operating with limited data - capable of building and validating proxy-based models. * Blend of ...
Strong modeling and experimentation skills (Python, SQL, Bayesian / probabilistic modeling). * Comfort operating with limited data - capable of building and validating proxy-based models. * Blend of ...
Probabilistic Modeling information
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 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 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 the difference between Probabilistic Modeling vs Data Scientist?
| Aspect | Probabilistic Modeling | Data Scientist |
|---|---|---|
| Required Credentials | Degree in statistics, mathematics, or related fields; knowledge of probability theory | Degree in computer science, statistics, or related fields; programming skills |
| Work Environment | Research-focused, often in analytics or data science teams | Cross-functional teams, including business, engineering, and analytics |
| Industry Usage | Used in analytics, finance, healthcare, and research for modeling uncertainty | Applied 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.
More about Probabilistic Modeling jobs
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What states have the most Probabilistic Modeling jobs? States with the most job openings for Probabilistic Modeling jobs include:
What job categories do people searching Probabilistic Modeling jobs look for? The top searched job categories for Probabilistic Modeling jobs are:
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
Senior Data Scientist – Econometrics & Time Series
Location: Philadelphia, PA (Hybrid – 2–3 Days Onsite)
Type: Full-Time
Role Overview
We are seeking a Senior Data Scientist with strong expertise in Econometrics and Time Series Analysis to support advanced analytics initiatives for a large Telecommunications environment. This role focuses on forecasting, causal inference, customer behavior analytics, and statistical modeling using large-scale datasets.
The ideal candidate will have deep hands-on experience with econometric techniques, probabilistic modeling, and time series forecasting frameworks, along with strong Python and SQL skills.
Key Responsibilities
- Build and deploy advanced time series forecasting models including ARIMA, SARIMA, VAR, and state-space models
- Apply econometric techniques such as WLS, regression diagnostics, panel data models, and causal inference methods
- Develop Bayesian and probabilistic models for uncertainty estimation and decision-making
- Utilize Markov chains and stochastic modeling techniques for behavioral and sequential data analysis
- Translate complex business problems into scalable analytical solutions and actionable insights
- Work with large-scale datasets using Databricks and modern analytics platforms
- Partner with business and technical stakeholders to drive data-driven decision making
- Mentor junior data scientists and promote best practices in statistical modeling and experimentation
Required Skills
- Strong expertise in Econometrics and Time Series Analysis
- Hands-on experience with:
- ARIMA, SARIMA, VAR, forecasting models
- Regression diagnostics, WLS, panel data models
- Causal inference and experimentation frameworks
- Bayesian statistics and probabilistic modeling
- Markov chains and stochastic processes
- Strong programming skills in Python and SQL
- Experience with Databricks or similar big data environments
- Excellent communication and stakeholder management skills
Nice to Have
- Experience with machine learning models and predictive analytics
- Knowledge of feature engineering, model validation, and performance tuning
- Exposure to ML pipelines and MLOps concepts
- Telecommunications domain experience is a plus
About Acunor
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Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Princeton, NJ, US
Year founded
2016