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About the Role

As a Principal Data Scientist, you will lead the design and delivery of machine learning solutions that power personalization and ad targeting across VIZIO. You'll own complex, ambiguous problems end to end—translating product and customer needs into scalable ML models and iterating them through rigorous evaluation and experimentation. You will work closely with Product and Engineering partners to influence direction, navigate technical tradeoffs, and advance long term ML strategy. You will set the technical standard for modeling and experimentation, contribute hands on advanced deep learning models at scale, and mentor other data scientists with a focus on quality and impact.

Responsibilities

Tackle ambiguous, high-impact problems by translating product and business questions into scalable machine learning solutions.
Build, evaluate, and iterate on advanced deep learning models for personalization, recommendation, and targeting.
Design and apply rigorous offline metrics and online experimentation frameworks to measure model and system performance.
Partner closely with Product and Engineering to align on scope, navigate technical tradeoffs, and drive execution across multiple teams.
Define and champion best practices for modeling, experimentation, and ML development, with a focus on robustness, scalability, and maintainability.
Provide technical leadership through design reviews, collaboration, and hands-on problem solving while helping raise the quality and impact of machine learning solutions.

Requirements

Extensive experience designing, training, and deploying machine learning models for real-world systems, particularly in personalization, recommendation, ranking, or targeting.
Deep technical foundations in machine learning and statistics, including representation learning, deep learning architectures, optimization, experimentation, and model evaluation.
Production Python experience, expertise with distributed data tools such as PySpark, and proficiency with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
Proven ability to lead ambiguous, technically complex initiatives spanning multiple stakeholders from problem formulation through deployment and evolution.
Experience influencing technical direction, establishing best practices, and driving high-quality machine learning solutions through technical leadership.
Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
5 years' experience in an analytics or related field.

Skills

Deep learning
Statistical data analysis
PyTorch
MLflow
Recommender systems
Ad targeting
Machine learning
Statistics
Representation learning
Deep learning architectures
Optimization
Experimentation
Model evaluation
Python
PySpark
TensorFlow
JAX
Data science
Optimization models
Scala
R
scikit learn
Web Content Accessibility Guidelines (WCAG) 2.2 AA standards
Assistive technologies
Digital accessibility

Location

San Francisco, California
New York, New York

Work Type

Onsite

Experience Level

Principal
3 years' experience
1 years' experience
5 years' experience

Education Level

Bachelor’s degree
Master’s degree
PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics

Salary/Compensations

$143,000.00 - $286,000.00
$132,000.00 - $264,000.00

Benefits

Medical coverage
Vision coverage
Dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO
Sick leave
Parental leave
Family care leave
Bereavement
Jury duty
Voting leave
Short-term disability
Long-term disability
Company discounts
Military Leave Pay
Adoption expense reimbursement
Surrogacy expense reimbursement
PPTO
Live Better U education benefit program

About the Company

We are a machine learning team focused on personalization across VIZIO’s platform.
Leveraging expertise in deep learning and statistical data analysis, the group focuses on creating scalable and powerful deep learning models using frameworks like PyTorch and MLflow.
Collaborating closely with cross-functional partners, the team continuously enhances model performance and deployment to deliver impactful user experiences.
This environment encourages innovation, rigorous testing, and application of best practices to solve complex challenges in recommender systems and ad targeting, contributing to the platform’s growth and customer engagement.
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job.
This policy applies to all employees and aims to create a safe and productive work environment.

Equal Opportunity

We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.