Deploy and modify existing empirical models (currently multivariate and Bayesian) build with regional and continental measurements made on commercial farms and ranches to provide users with ...
Deploy and modify existing empirical models (currently multivariate and Bayesian) build with regional and continental measurements made on commercial farms and ranches to provide users with ...
$100 - $125/hr
Deploy and modify existing empirical models (currently multivariate and Bayesian) build with regional and continental measurements made on commercial farms and ranches to provide users with ...
$100 - $125/hr
Deploy and modify existing empirical models (currently multivariate and Bayesian) build with regional and continental measurements made on commercial farms and ranches to provide users with ...
$191K - $253K/yr
By bringing the expertise, technology, and business model of the 21st century's most innovative ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
$191K - $253K/yr
By bringing the expertise, technology, and business model of the 21st century's most innovative ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
$220K - $292K/yr
By bringing the expertise, technology, and business model of the 21st century's most innovative ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
$220K - $292K/yr
By bringing the expertise, technology, and business model of the 21st century's most innovative ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
Rather than viewing a digital twin solely as a prediction model, we are interested in understanding ... Bayesian statistics * Causal inference * External controls or real-world evidence * Target trial ...
Rather than viewing a digital twin solely as a prediction model, we are interested in understanding ... Bayesian statistics * Causal inference * External controls or real-world evidence * Target trial ...
$220K - $292K/yr
By bringing the expertise, technology, and business model of the 21st century's most innovative ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
$220K - $292K/yr
By bringing the expertise, technology, and business model of the 21st century's most innovative ... Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive ...
$130K - $195K/yr
... model the data, critically evaluate performance of the model, and present findings * Develop ... Unsupervised Learning, Bayesian classifiers, Regression, Random Forests, Deep Learning, Graph ...
$130K - $195K/yr
... model the data, critically evaluate performance of the model, and present findings * Develop ... Unsupervised Learning, Bayesian classifiers, Regression, Random Forests, Deep Learning, Graph ...
Familiarity with smoothing filters, microstructure noise models, interpolation schemes, Bayesian methods, or factor construction is a plus. * Experience working with large-scale tick data or ...
Familiarity with smoothing filters, microstructure noise models, interpolation schemes, Bayesian methods, or factor construction is a plus. * Experience working with large-scale tick data or ...
$210K - $265K/yr
Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency * Data pipelines for ingesting, transforming, and serving data to models and LLMs What We're ...
$210K - $265K/yr
Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency * Data pipelines for ingesting, transforming, and serving data to models and LLMs What We're ...
Deploy and modify existing empirical models (currently multivariate and Bayesian) build with regional and continental measurements made on commercial farms and ranches to provide users with ...
Deploy and modify existing empirical models (currently multivariate and Bayesian) build with regional and continental measurements made on commercial farms and ranches to provide users with ...
$100K - $120K/yr
This model allows Facet to integrate advice into our members' entire financial picture--all for an ... and Bayesian average. After the calculation, a TrustScore is then visualized into a star rating ...
$100K - $120K/yr
This model allows Facet to integrate advice into our members' entire financial picture--all for an ... and Bayesian average. After the calculation, a TrustScore is then visualized into a star rating ...
... analysis, and Bayesian methodologies. * Working knowledge of statistical and data processing ... Modeling, Statistical Analysis, Statistics Preferred Skills US and Puerto Rico Residents Only: Our ...
... analysis, and Bayesian methodologies. * Working knowledge of statistical and data processing ... Modeling, Statistical Analysis, Statistics Preferred Skills US and Puerto Rico Residents Only: Our ...
Data Modeling: Build and maintain data models which drive valuable insights and support critical ... An understanding of Bayesian Inference * Experience building and managing a data team roadmap
Data Modeling: Build and maintain data models which drive valuable insights and support critical ... An understanding of Bayesian Inference * Experience building and managing a data team roadmap
Bayesian Modeling information
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.
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 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.
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 popular job titles related to Bayesian Modeling jobs in Kentucky?
For Bayesian Modeling jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in Kentucky look for?
The top searched job categories for Bayesian Modeling jobs in Kentucky are:
What cities in Kentucky are hiring for Bayesian Modeling jobs?
Cities in Kentucky with the most Bayesian Modeling job openings:
Research Soil Scientist
On-site
Texas Health Institute
• Non-Profits • 11 - 50 employees11 - 50 employees
Other
Posted 23 days ago
Key responsibilities
Conduct a meta-analysis of soil health and potato pathogen/microbiome research to quantify relationships among soil health indicators, management practices, and pathogen/microbiome outcomes
Review and synthesize soil health studies in potato cropping systems
Deploy and modify existing empirical models to provide regionally appropriate interpretations of soil health data
Job description
The Soil Health Institute (SHI), is a non-profit organization created to safeguard and enhance the vitality and productivity of soil through scientific research and advancement. The Institute brings together leaders in soil health science and the industry to conduct research and empower farmers and landowners with the knowledge to successfully adopt regenerative soil health systems that contribute economic and environmental benefits to agriculture and society. SHI has a dynamic team of scientists and educators working together to assess and promote soil health practices on U.S. farms, and we seek a Research Soil Scientist to support this mission for potato cropping systems.
The selected individual will be supervised by Mara Cloutier, PhD, Research Soil Scientist and Program Director. This position will work with SHI as a full-time employee for a minimum of 12 months, with possible extension of employment based on satisfactory performance and project needs. We seek a self-motivated individual interested in building science-based and data driven outreach materials and working with both external practitioners and the SHI science and outreach teams. Remote work is acceptable, with periodic travel as needed. Position start date of October 15, 2026 is expected.
QualificationsWe value diverse perspectives and recognize that each applicant for this role will bring unique skills, knowledge, and lived experience. Candidates who meet at least some of the criteria below are encouraged to apply.
Education: Ph.D. in soil science, environmental science, or a related field.
Experience: Demonstrated experience identifying soil sampling locations at farm field and regional spatial extents; Experience with empirical modeling and soil data analysis at 1 to 100 km scales; and knowledge of how agronomic management decisions influence soil functioning and cropping systems across multiple regions.
Knowledge, Skills, and Abilities- Conducted literature reviews and meta-analyses on environmental and agronomic benefits of soil health practices
- Strong proficiency in data processing and analysis using a modern data stack (R, Python, etc.)
- Exhibited excellent interpersonal and communication skills, with a track record of facilitating cross-project collaboration and decision-making
- Conducted on-farm fieldwork to understand production systems, collect data, and deliver synthesized results back to farmers
- Organized and coordinated sampling activities in partnership with farmers to ensure efficient data collection
- Prepared technical reports and peer-reviewed scientific publications to communicate research findings into scientific, industry, and policy audiences
- Presented research results at scientific conferences, industry meetings, and stakeholder workshops
- Self-motivated and proactive, with the ability to thrive in a remote working environment
- Must be currently authorized to work for any employer in the United States and hold a valid U.S. driver’s license
This is a remote position. Occasional travel (up to 10%) is required.
Key Responsibilities- Conduct a meta-analysis of soil health and potato pathogen/microbiome research to quantify relationships among soil health indicators, management practices, and pathogen/microbiome outcomes
- Review and synthesize soil health studies in potato cropping systems
- Enthusiastic about building a farmer and farmer-advisor facing soil health assessment and reporting infrastructure that enables successful adoption of soil health practices
- Deploy and modify existing empirical models (currently multivariate and Bayesian) build with regional and continental measurements made on commercial farms and ranches to provide users with regionally appropriate interpretations of their soil health data
- Collaborate with other SHI scientists to develop soil health interpretations at multiple spatial scales (field, supply shed, and regional) for many stakeholders (e.g. growers, advisors, aggregators, brands)
- Self-directed work style with ability to manage complex, multi-faceted projects
- Experience integrating diverse datasets (agronomic, soil, management records)
- Collaborate with farmers to identify field locations and gather essential management data
- Organize and coordinate sampling activities in partnership with farmers to facilitate efficient data collection
- Publish work in solving knowledge gaps in scientific peer review journals
About Texas Health Institute
Sourced by ZipRecruiter
Industry
Non-profits
Company size
11 - 50 Employees
Headquarters location
Austin, TX, US
Year founded
1964