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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying machine learning models, particularly in personalization and recommendation systems, while providing technical leadership and mentoring to drive high-quality solutions. Proficient in advanced deep learning techniques and statistical analysis to solve complex problems and influence technical direction.
Highest-signal resume keywords
Machine Learning Model DesignDeep Learning ExpertiseProduction Python ExperienceTechnical LeadershipPersonalization and Recommendation Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningModel EvaluationStatistical AnalysisOptimizationRepresentation LearningData AnalysisModel TrainingModel DeploymentExperimentation
Soft Skills
Problem SolvingCollaborationMentoringInfluencingCommunication
Tools & Technologies
PyTorchTensorFlowJAXPySparkDistributed Data Tools
Industry Keywords
PersonalizationRecommendationAd TargetingAnalyticsTechnical Standards
Tech Stack
Tools & technologiesPySparkPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Lead the design and delivery of machine learning solutions powering personalization and ad targeting across VIZIO
- Translate product and customer needs into scalable machine learning models
- Own complex, ambiguous problems end to end
- Build, evaluate, and iterate advanced deep learning models for personalization, recommendation, and targeting
- Design and apply offline metrics and online experimentation frameworks
- Partner with Product and Engineering to align scope, navigate technical tradeoffs, and drive execution across teams
- Define and champion best practices for modeling, experimentation, and ML development
- Provide technical leadership through design reviews, collaboration, and hands-on problem solving
- Set technical standards for modeling and experimentation
- Contribute hands-on advanced deep learning models at scale
- Mentor other data scientists
- Advance long-term machine learning strategy
Requirements
What you’ll need- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field; or Master’s degree in one of these fields and 1 year’s experience; or 5 years' experience in an analytics or related field
- Extensive experience designing, training, and deploying machine learning models for real-world systems
- Experience in personalization, recommendation, ranking, or targeting
- Deep technical foundations in machine learning and statistics
- Knowledge of representation learning, deep learning architectures, optimization, experimentation, and model evaluation
- Production Python experience
- Expertise with distributed data tools such as PySpark
- Proficiency with PyTorch, TensorFlow, or JAX
- Ability to lead ambiguous, technically complex initiatives spanning multiple stakeholders
- Experience influencing technical direction, establishing best practices, and driving high-quality machine learning solutions through technical leadership
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision, and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Walmart-paid education benefit program through Live Better U
- Tuition, books, and fees completely paid for eligible education programs
- Stock compensation may be included for certain positions
