Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale data science services across our rapidly evolving data platform. You'll work end-to-end on ...
Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale data science services across our rapidly evolving data platform. You'll work end-to-end on ...
Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale data science services across our rapidly evolving data platform. You'll work end-to-end on ...
Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale data science services across our rapidly evolving data platform. You'll work end-to-end on ...
Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. * Monitor and analyze marketing ...
Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. * Monitor and analyze marketing ...
Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. * Monitor and analyze marketing ...
Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model. * Monitor and analyze marketing ...
Senior Risk & Compliance Engineer - Data
OR · Remote
$105K - $143K/yr
... Bayesian models) in a production environment * Experience building data pipelines that ingest real-time or near-real-time data across multiple formats, handling both stream and batch processing at ...
New
Senior Risk & Compliance Engineer - Data
OR · Remote
$105K - $143K/yr
... Bayesian models) in a production environment * Experience building data pipelines that ingest real-time or near-real-time data across multiple formats, handling both stream and batch processing at ...
New
... Bayesian methods, and model limitations. * Assess model quality, reliability, bias, drift, and operational usefulness; identify when an analytical approach is not statistically valid or is not ...
... Bayesian methods, and model limitations. * Assess model quality, reliability, bias, drift, and operational usefulness; identify when an analytical approach is not statistically valid or is not ...
Senior Data Scientist
OR · On-site +1
$140K - $190K/yr
Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making. * AI Monitoring and ...
Senior Data Scientist
OR · On-site +1
$140K - $190K/yr
Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making. * AI Monitoring and ...
Developing physics-based models for Thermal/CFD/Chemistry applications for components in ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
Developing physics-based models for Thermal/CFD/Chemistry applications for components in ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
Developing physics-based models for Thermal/CFD/Chemistry applications for components in ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
Developing physics-based models for Thermal/CFD/Chemistry applications for components in ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
Statistics Graduate Level Tutor
OR · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
OR · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Eugene, OR · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Eugene, OR · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Portland, OR · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Portland, OR · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Senior Marketing Decision Scientist II
OR · Remote
Experience building, validating, and operationalizing Marketing Mix Models (preferably Bayesian approaches using PyMC, Stan, or similar) and triangulating MMM with experiment results. * Familiarity ...
Senior Marketing Decision Scientist II
OR · Remote
Experience building, validating, and operationalizing Marketing Mix Models (preferably Bayesian approaches using PyMC, Stan, or similar) and triangulating MMM with experiment results. * Familiarity ...
Experience with dynamical systems modeling for cell state transitions, or inverse problem ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
Experience with dynamical systems modeling for cell state transitions, or inverse problem ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
Measurement Science Manager II
OR · Remote
Advanced knowledge of statistical techniques including marketing mix modeling, Bayesian analysis, and causal inference * Ability to automate processes using AI-driven tools and workflows * Technical ...
Measurement Science Manager II
OR · Remote
Advanced knowledge of statistical techniques including marketing mix modeling, Bayesian analysis, and causal inference * Ability to automate processes using AI-driven tools and workflows * Technical ...
Experience with dynamical systems modeling for cell state transitions, or inverse problem ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
Experience with dynamical systems modeling for cell state transitions, or inverse problem ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
$86K - $106K/yr
Real-world evidence (RWE) analyses for use in health economic and early disease modeling * Bayesian and other advanced statistical methodologies * Develop, validate, document, and maintain ...
$86K - $106K/yr
Real-world evidence (RWE) analyses for use in health economic and early disease modeling * Bayesian and other advanced statistical methodologies * Develop, validate, document, and maintain ...
Bayesian Modeling information
What is the difference between Bayesian Modeling vs Data Scientist?
| Aspect | Bayesian Modeling | Data Scientist |
|---|---|---|
| Required Credentials | Statistics, Mathematics, Data Analysis | Statistics, Computer Science, Data Analysis |
| Work Environment | Research-focused, statistical modeling | Cross-functional, data analysis, visualization |
| Industry Usage | Research, academia, specialized analytics | Business, tech, finance, healthcare |
| Common Search/Comparison | Yes | Yes |
Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.
What are the key skills and qualifications needed to thrive as a Bayesian Modeler, and why are they important?
To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.
How does a Bayesian Modeling specialist typically collaborate with cross-functional teams in a workplace setting?
Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.
What is Bayesian modeling?
Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.
What are popular job titles related to Bayesian Modeling jobs in Oregon? For Bayesian Modeling jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in Oregon look for? The top searched job categories for Bayesian Modeling jobs in Oregon are:
- Reinforcement Learning Engineer Salary
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What cities in Oregon are hiring for Bayesian Modeling jobs? Cities in Oregon with the most Bayesian Modeling job openings:
Job description
Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale data science services across our rapidly evolving data platform. You’ll work end-to-end on initiatives that turn massive proprietary datasets into impactful, production-grade solutions.
This is a highly autonomous, product-focused role. You’ll partner with Product, Data, and Engineering teams to translate customer needs into data-driven products, analytics methodologies, and new offerings that drive measurable business impact.
How You'll Spend Your Time:
-
Lead the design and delivery of complex Bayesian and probabilistic modeling pipelines, from methodology through production
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Set technical direction on hard modeling problems and make the key methodological calls, with a high degree of autonomy
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Work closely with Product, GTM, Data, and Engineering to turn models into reliable, production-grade solutions the business can depend on
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Help the whole team get better — mentor other data scientists, share your approach openly, and raise the bar for how the group reasons about uncertainty and Bayesian methods
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Communicate methods, results, and tradeoffs clearly to both technical and non-technical audiences
About Numerator
Sourced by ZipRecruiter
Industry
Marketing research
Company size
1,001 - 5,000 Employees
Headquarters location
Chicago, IL, US
Year founded
1990