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Bayesian Phd Jobs in Austin, TX (NOW HIRING)

Apple

Data Center - MLB Reliability Engineer

Austin, TX

$101K - $127K/yr

... and Bayesian analysis to quantify board-level risk and its contribution to overall system ... Preferred Qualifications MS or PhD in Reliability Engineering, Systems Engineering, Electrical ...

Apple

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

Preferred Qualifications MS or PhD in Reliability Engineering, Systems Engineering, Electrical ... Experience applying reliability modeling (Markov, RBD, Bayesian) and RAS metrics to Data Center ...

Apple

Demographic Data Scientist

Austin, TX · On-site

Minimum Qualifications MS +3 years of experience or PhD in an analytical field such as (but not ... Experience with statistical methods such as Bayesian methods to identify trends and anomalies in ...

Rokt

Staff Applied Scientist - Machine Learning

Austin, TX · Hybrid

$470K - $615K/yr

PhD or equivalent experience in Computer Science, Statistics, Mathematics, or related field with ... Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy ...

Rokt

Staff Applied Scientist (Machine Learning)

Austin, TX · On-site

$290 - $615/hr

PhD or equivalent experience in Computer Science, Statistics, Mathematics, or related field with ... Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$210 - $260/hr

PhD or Master's in Computer Science, Statistics, Mathematics, or related field with specialization ... Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ...

Apple

Demographic Data Scientist

Austin, TX

Experience with statistical methods such as Bayesian methods to identify trends and anomalies in ... Minimum Qualifications MS +3 years of experience or PhD in an analytical field such as (but not ...

Roku

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

... Bayesian Analysis and others to develop and evaluate algorithms for improving product/system ... Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field * 5 years of ...

Apple Inc.

Demographic Data Scientist

Austin, TX · On-site

$85 - $110/hr

MS +3 years of experience or PhD in an analytical field such as (but not limited to) Quantitive ... Experience with statistical methods such as Bayesian methods to identify trends and anomalies in ...

MMS

Study Design Statistician (US)

Austin, TX · On-site

... PhD preferred. * 5-7 years of experience in the application of medical statistics (pharma, CRO ... Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... Bayesian Analysis and others to develop and evaluate algorithms for improving product/system ... Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field * 5 years of ...

All JobsBayesian Phd JobsBayesian Phd Jobs in Austin, TX

Bayesian Phd information

What is a Bayesian PhD?

A Bayesian PhD typically refers to an individual who has completed a doctoral program with a focus on Bayesian statistics or Bayesian methods in their research. Bayesian statistics is a branch of statistics that uses probability distributions to represent uncertainty about unknowns, updating beliefs as new data becomes available. Students in this field learn to develop and apply Bayesian models to a wide range of problems in science, engineering, and social sciences. A PhD program with a Bayesian focus often involves advanced coursework in probability theory, statistical inference, and computational methods, as well as original research using Bayesian approaches.

What are the key skills and qualifications needed to thrive as a Bayesian PhD?

To thrive as a Bayesian PhD, you need advanced knowledge of probability theory, statistical inference, and mathematics, typically supported by a doctoral degree in statistics, mathematics, or a related field. Proficiency with statistical programming languages like R, Python, and specialized Bayesian tools such as Stan or BUGS is essential. Strong critical thinking, problem-solving, and clear communication skills help in articulating complex analyses and collaborating across disciplines. These capabilities are crucial for developing rigorous models, conducting impactful research, and translating statistical insights into actionable solutions.

What are some common challenges faced by a Bayesian PhD researcher during collaborative projects?

Bayesian PhD researchers often collaborate with interdisciplinary teams, which can present challenges such as communicating complex statistical concepts to non-specialists and integrating Bayesian methods with other analytical frameworks. Balancing the depth of theoretical work with practical problem-solving, managing computational demands, and aligning project goals with collaborators' expectations are also common hurdles. Successful collaboration typically requires strong communication skills, adaptability, and a willingness to bridge methodological gaps between disciplines.

What is the difference between Bayesian Phd vs Data Scientist?

AspectBayesian PhdData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, academic or specialized industry rolesBusiness-focused, tech companies, or consulting firms
Industry UsageAcademic research, advanced analytics, specialized modelingData analysis, machine learning, business insights
Common Search/ComparisonYesYes

While a Bayesian PhD specializes in advanced statistical modeling and research, a Data Scientist applies data analysis and machine learning techniques in practical business contexts. Both roles require strong analytical skills, but the Bayesian PhD typically focuses on theoretical development, whereas the Data Scientist emphasizes application and implementation.

What are popular job titles related to Bayesian Phd jobs in Austin, TX?

For Bayesian Phd jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Bayesian Phd jobs in Austin, TX look for?

The top searched job categories for Bayesian Phd jobs in Austin, TX are:

What cities near Austin, TX are hiring for Bayesian Phd jobs?

Cities near Austin, TX with the most Bayesian Phd job openings:

Bayesian Phd jobs near you

Machine Learning Engineer- Senior Consultant Level

Visa

Austin, TX • On-site

$173K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Visa rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

5th of 21 rated payment service providers

Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Job Description
As a Machine Learning Engineer at the Senior Consultant/Senior Manager level, you will design and develop integrated software algorithms to structure, analyze, and leverage data in product and systems applications across both structured and unstructured environments. You will use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others to develop and evaluate algorithms that improve product/system performance, quality, data management, and accuracy. Rigorous validation and identification of logical flaws via sound machine learning practices are essential to support the post-deployment phase integrity and accuracy of solutions.
You will translate algorithms and technical specifications into code using current programming languages and technologies. The role includes designing and implementing methods for adaptive learning (self-learning models) with controls on effectiveness, methods for explaining model decisions where necessary, model validation, and A/B testing of models.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:
  • Develop and program integrated software algorithms for product and systems applications in both structured and unstructured environments.
  • Apply machine language and statistical modeling techniques to improve product/system performance, quality, data management, and accuracy.
  • Conduct rigorous validation and identify logical flaws using sound machine learning practices.
  • Translate algorithms and technical specifications into code using current programming languages and technologies.
  • Design and implement methods for adaptive learning, model validation, A/B testing, and explainability of model decisions.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
  • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD.
  • Experience in developing and programming integrated software algorithms for structured and unstructured data environments.
  • Ability to program in one or more scripting languages such as Rust or Python and one or more programming languages such as Java, C++ or C#.
  • Advanced Generative AI Experience/Usage

Preferred Qualifications:
  • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
  • Bachelor's Degree in Computer Science, Operations Research, Statistics or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
  • Experience in applying statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others.
  • Experience in rigorous validation and identification of logical flaws in machine learning solutions.
  • Experience in translating algorithms and technical specifications into code using current programming languages and technologies.
  • Experience in designing and implementing adaptive learning methods, model validation, and A/B testing.
  • Experience in explaining model decisions and ensuring post-deployment integrity and accuracy.
  • Experience in working with large datasets and modern big data and ML/AI technologies.
  • Experience in relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks.
  • Experience with one or more common statistical tools such as SAS, R, KNIME, Matlab.
  • Deep learning experience with TensorFlow is a plus.

U.S. Applicants Only
The estimated salary range for this position is $173,000.00 to $ 276,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Visa employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958

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