In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Sr. Analyst, Product Analytics
San Mateo, CA · On-site +1
$175K - $248K/yr
... Series, Bayesian Structural Time Series models, Seasonal-Trend Decomposition, and Rolling Regression; building and maintaining dashboards using Tableau/DOMO to integrate ETL processes ...
Sr. Analyst, Product Analytics
San Mateo, CA · On-site +1
$175K - $248K/yr
... Series, Bayesian Structural Time Series models, Seasonal-Trend Decomposition, and Rolling Regression; building and maintaining dashboards using Tableau/DOMO to integrate ETL processes ...
Staff AI Scientist
Oakland, CA · On-site
$209K - $283K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Oakland, CA · On-site
$209K - $283K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
San Diego, CA · On-site
$209K - $283K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
San Diego, CA · On-site
$209K - $283K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Senior Research Scientist, World Action Modeling
Mountain View, CA · On-site
$213K - $263K/yr
AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...
Senior Research Scientist, World Action Modeling
Mountain View, CA · On-site
$213K - $263K/yr
AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...
Senior Research Scientist, World Action Modeling
San Francisco, CA · On-site +1
$213K - $263K/yr
AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...
Senior Research Scientist, World Action Modeling
San Francisco, CA · On-site +1
$213K - $263K/yr
AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...
Senior Research Scientist, World Action Modeling
Mountain View, CA · On-site +1
$213K - $263K/yr
AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...
Senior Research Scientist, World Action Modeling
Mountain View, CA · On-site +1
$213K - $263K/yr
AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...
Staff AI Scientist
Mountain View, CA · On-site
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Applied Scientist II - AMZ9735083
Sunnyvale, CA · On-site
$171K - $222K/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.
Applied Scientist II - AMZ9735083
Sunnyvale, CA · On-site
$171K - $222K/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.
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Applied Scientist II - AMZ9890756
San Diego, CA · On-site
$142K - $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.
Applied Scientist II - AMZ9890756
San Diego, CA · On-site
$142K - $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.
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Applied Scientist III - AMZ9898484
San Diego, CA · On-site
$167K - $226K/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 ...
Applied Scientist III - AMZ9898484
San Diego, CA · On-site
$167K - $226K/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 ...
Experience with temporal or dynamical modeling, Bayesian inference, and survival analysis for clinical outcome data. Scholarly record and collaboration * A track record of first-author peer-reviewed ...
Experience with temporal or dynamical modeling, Bayesian inference, and survival analysis for clinical outcome data. Scholarly record and collaboration * A track record of first-author peer-reviewed ...
Experience with temporal or dynamical modeling, Bayesian inference, and survival analysis for clinical outcome data. Scholarly record and collaboration * A track record of first-author peer-reviewed ...
Experience with temporal or dynamical modeling, Bayesian inference, and survival analysis for clinical outcome data. Scholarly record and collaboration * A track record of first-author peer-reviewed ...
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 California? For Bayesian Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in California look for? The top searched job categories for Bayesian Modeling jobs in California are:
Intuit rating
8.3
Based on 82 frontline employees who took The Breakroom Quiz
65th of 186 rated software companies
Job description
Intuit is looking for innovative and hands-on Senior Staff AI Scientist to join the Intuit AI team.
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.
Responsibilities
Qualifications
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California $ 222,000- 300,000
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.
Responsibilities
- Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
- Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
- Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team's work, and holding the team accountable for high quality code, git, design, costs and implementation standards
- Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them "model-ready". You need to be willing and able to do your own ETL and design/build featurization.
- Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
- Runs A/B tests to draw conclusions on the impact of your team's work and communicates results to peers and leaders
- Communicates with partners to ensure successful delivery and integration of DS solutions.
- Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.
Qualifications
- 6+ years of industry experience with AI science
- BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
- 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
- Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
- Proficient in NLP techniques, Explainable AI, and ML frameworks.
- Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
- Efficient in SQL, Hive, SparkSQL, etc.
- Comfortable working in a Linux environment
- Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
- Quick learner, adaptable, with the ability to work independently in a fast-paced environment
- Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California $ 222,000- 300,000