ZipRecruiter

Log In

1

Bayesian Jobs (NOW HIRING)

Fabletics

Data Scientist II

El Segundo, CA · On-site

You bring expertise in Bayesian modeling and a strong statistical foundation, approaching ambiguous problems with structure. When faced with an unknown, you don't stop at the question; you identify ...

Walmart

(USA) Senior Manager, Data Science

Johnson, AR

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...

Walmart

(USA) Senior Manager, Data Science

Noel, MO

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...

Walmart

(USA) Senior Manager, Data Science

Centerton, AR

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...

Walmart

(USA) Senior Manager, Data Science

Lowell, AR

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...

Walmart

(USA) Senior Manager, Data Science

Rogers, AR

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...

Walmart

(USA) Senior Manager, Data Science

Decatur, AR

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...

Walmart

(USA) Senior Manager, Data Science

Anderson, MO

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...

Walmart

(USA) Senior Manager, Data Science

Pea Ridge, AR

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...

Walmart

(USA) Senior Manager, Data Science

Gravette, AR

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...

Walmart

(USA) Senior Manager, Data Science

Tontitown, AR

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...

Walmart

(USA) Senior Manager, Data Science

Greenland, AR

$110K - $220K/yr

Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site +1

$64K - $76K/yr

The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site +1

$64K - $76K/yr

The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in ...

next page

Showing results 1-20

All JobsBayesian Jobs

Bayesian information

See salary details

$149.5K

$160K

$171.5K

How much do bayesian jobs pay per year?

As of Jun 9, 2026, the average yearly pay for bayesian in the United States is $159,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,000.00 and $165,000.00 per year, depending on experience, location, and employer.

What are the typical projects or challenges faced in a Bayesian-focused role?

In a Bayesian role, you’ll often work on projects involving probabilistic modeling, uncertainty quantification, and predictive analytics for real-world decision-making. Common challenges include structuring prior distributions, ensuring computational efficiency for complex models, and clearly explaining Bayesian results to non-technical stakeholders. You might collaborate closely with data engineers, domain experts, and business analysts to refine models and translate findings into actionable recommendations. This role offers the opportunity to tackle diverse analytical problems across industries like healthcare, finance, or tech, supporting ongoing professional growth and learning.

What is a Bayesian job?

A Bayesian job typically involves applying Bayesian statistics, probabilistic modeling, and inference techniques to analyze data and make decisions under uncertainty. Professionals in this field use Bayes' theorem to update beliefs based on new evidence, often working in areas like machine learning, finance, healthcare, and research. Common roles include Bayesian statisticians, data scientists, and researchers who build probabilistic models to improve predictions and decision-making.

What are the key skills and qualifications needed to thrive in the Bayesian position, and why are they important?

To thrive as a Bayesian (typically a Bayesian Data Scientist or Statistician), you need a strong background in probability theory, statistical modeling, and mathematics, often with an advanced degree in statistics, data science, or a related quantitative field. Experience with programming languages such as Python or R, Bayesian analysis libraries (e.g., Stan, PyMC), and familiarity with statistical software are commonly required. Analytical thinking, collaborative teamwork, and the ability to communicate complex results clearly are valuable soft skills in this role. These abilities are essential for designing robust models, interpreting data accurately, and delivering actionable insights to interdisciplinary teams.

More about Bayesian jobs
What cities are hiring for Bayesian jobs? Cities with the most Bayesian job openings:
What are the most commonly searched types of Bayesian jobs? The most popular types of Bayesian jobs are:
What states have the most Bayesian jobs? States with the most job openings for Bayesian jobs include:
What job categories do people searching Bayesian jobs look for? The top searched job categories for Bayesian jobs are:
Bayesian jobs near you
Infographic showing various Bayesian job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $159,999 per year, or $76.9 per hour.
Data Scientist II

Data Scientist II

Fabletics

El Segundo, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 24 days ago

Fabletics rating

6.9

Company rating: 6.9 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

Job description

Job Description
Fabletics is looking for a Data Scientist to join our Marketing Science & Analytics team.
How do you fit in?
As a Data Scientist at Fabletics, you will play a key role in developing insights that empower our internal teams to scale marketing spend effectively through rigorous media measurement, from ad exposure to conversion. You will collaborate closely with Data Analytics, Media, and a diverse Data Science team with various expertise and focuses.
Tools and Technologies:
Expect to leverage Python and SQL daily, with larger projects involving Databricks and Airflow for scale and automation. Flexibility in choosing the best tools for your role is encouraged, reflecting our commitment to ongoing education and exploration of new technologies and modeling methods.
Ideal Candidate:
We seek a detail-oriented, solutions-focused Data Scientist with a deep understanding of the media measurement landscape and experience evaluating marketing effectiveness at scale from within a measurement vendor, media agency, or in-house marketing science team. You bring expertise in Bayesian modeling and a strong statistical foundation, approaching ambiguous problems with structure. When faced with an unknown, you don't stop at the question; you identify what you need to find out, articulate a clear path forward, and communicate your reasoning at every step. You take ownership of your projects end-to-end, proactively driving progress and keeping stakeholders informed without being asked. A natural collaborator and clear communicator, you are equally comfortable presenting your methodology to technical peers and explaining your findings to non-technical partners.
What you will be doing:
  • Incrementality Testing:
    • Design and execute rigorous incrementality and lift tests (including geo experiments, holdout tests, and A/B tests) to measure the true causal impact of marketing interventions
    • Apply Bayesian modeling and causal inference methods to analyze test results, quantify uncertainty, and produce actionable recommendations for marketing spend optimization
    • Own the end-to-end testing process, from proactively structuring experiment designs and clearly defining hypotheses and expected business impact, through execution, analysis, and stakeholder communication of results

  • Media Mix Modeling & Attribution:
    • Develop and maintain advanced media mix models and attribution systems to assess the impact of digital marketing channels and track touchpoints throughout the customer journey
    • Collaborate with cross-functional teams to align models with business goals and ensure comprehensive, accurate data inputs

  • Bayesian Modeling:
    • Design, develop, and maintain Bayesian statistical models as the primary analytical approach across marketing science projects, with a focus on quantifying uncertainty and informing decision-making
    • Apply probabilistic programming tools (PyMC preferred) to build and iterate on models; clearly document methodology, assumptions, and outputs for both technical and non-technical audiences
    • Regularly validate and refine models to ensure accuracy; proactively identify opportunities for optimization and propose data-driven solutions to enhance performance

  • Data Analysis and Visualization:
    • Utilize statistical and machine learning techniques to derive insights from large datasets
    • Translate findings into clear, compelling outputs (including dashboards, reports, and stakeholder presentations) and effectively communicate results to both technical and non-technical audiences across marketing, analytics, and technology teams

  • Collaboration and Communication:
    • Work closely with marketing, analytics, and technology teams to understand data requirements for both marketing and personalization initiatives
    • Clearly communicate complex findings and algorithmic recommendations to non-technical stakeholders

What you can bring:
  • 2-4 years of work experience as a Data Scientist
  • Fluent in R or Python (Python preferred), SQL, and Git
  • Proven experience in media mix modeling, media attribution, and incrementality testing, ideally gained within a measurement vendor, media agency, or sophisticated in-house marketing science function, with familiarity in how measurement solutions are scoped, delivered, and communicated to stakeholders
  • Hands-on experience designing and analyzing marketing experiments, including A/B tests, lift tests, and geo experiments; strong command of causal inference methods for interpreting results in real-world, non-ideal conditions
  • Strong foundation in statistical modeling, with hands-on experience in Bayesian methods and probabilistic programming (PyMC or equivalent)
  • The ability to understand and implement publications in the fields of Data Science/Machine Learning as applied to marketing
  • Strong communication skills with the ability to clearly articulate complex topics, project status, methodology, and next steps to both technical and non-technical audiences, including a structured approach to diagnosing and resolving blockers independently
  • Ideal candidate brings foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation.

Preferred Qualifications:
  • Advanced degree in Statistics, Computer Science, Econometrics, or related fields
  • Experience designing geo experiments or market-level tests for measuring marketing effectiveness at scale
  • Experience with data visualization tools such as Tableau
  • Familiarity with marketing tech stack and digital data technologies (Google Analytics, pixel tracking, etc.)
  • Experience in e-commerce, subscription models, and/or direct-to-consumer brands

Where we are:
  • This role will be based in our El Segundo Headquarters

Compensation & Total Rewards:
At Fabletics, we believe work and life should fit together! We continue to build a culture of flexibility, to empower you to do your best and put yourself first. Our Total Rewards program rewards employees for their hard work, supporting their health, well-being, families, and ultimately their life journey. Total Rewards at Fabletics includes:
-Hybrid Work Schedule*
-Discretionary Paid Time Off*
-Summer Fridays*
-Healthcare Plans
-Employee Discounts
-401k
-Annual Bonus Program
-Equity Program*
-And More
*Varied for retail, fulfillment and fully remote roles.
The annual base salary range for this position is from $110,000-$125,000. The range provided includes the base salary that Fabletics expects to pay for the role. Offered base salary will be dependent on factors including the scope and complexity of the role, candidate's related work experience, subject matter expertise and work location.
#LI-LS1
#LI-Fabletics
Security Alert: Protect yourself from scams
At Fabletics, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Fabletics emphasizes legitimate recruitment practices. Initial communication is primarily via official email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Teams or Zoom-never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
Fabletics, Inc. is an equal opportunity employer. We recruit, employ, compensate, develop, and promote regardless of race, national origin, religion, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, and other protected status as required by applicable. At Fabletics, Inc., we champion a vibrant workplace culture that thrives on diversity law and do not tolerate discrimination or harassment. We are one team from many backgrounds, innovating through diversity of individuals, who are driven by passion for creating an inclusive space for all. Fabletics, Inc. will continue to champion a workplace culture that prizes diversity and inclusivity.
We encourage you to apply regardless of meeting all qualifications and/or requirements.

What Fabletics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply