(USA) Staff, Data Scientist

About the role

The position involves leading the development and deployment of machine learning solutions that power personalization and ad targeting across VIZIO. You will tackle complex, ambiguous business and product challenges by translating customer needs into scalable ML systems and driving them through rigorous evaluation, experimentation, and iteration. You will work closely with Product, Engineering, and fellow Data Scientists to shape solution approaches, influence technical decisions, and deliver measurable business impact.

Responsibilities

• Tackle ambiguous, high-impact problems by translating product and business questions into well-scoped machine learning and data science solutions.
• Build, evaluate, and iterate on machine learning and deep learning models for personalization, recommendation, and ad targeting use cases.
• Design and apply rigorous offline evaluation methodologies and online experimentation frameworks to measure model and system performance.
• Partner closely with Product, Engineering, and cross-functional stakeholders to align on priorities, navigate technical tradeoffs, and drive execution across initiatives.
• Lead projects from ideation through deployment, monitoring, and ongoing optimization in production environments.
• Champion best practices in modeling, experimentation, and ML development, helping drive scalable, reliable, and impactful machine learning solutions.

Requirements

• Extensive experience designing, training, and deploying machine learning models for real-world systems, particularly in personalization, recommendation, ranking, targeting, or related domains.
• Deep foundations in machine learning and statistics, including deep learning, optimization, model evaluation, experimentation, and scalable model development.
• Production Python experience, familiarity with distributed data processing tools such as PySpark, and proficiency with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
• Demonstrated ability to operate in ambiguous, technically complex problem spaces and lead high-impact initiatives from problem formulation through deployment and iteration.
• Strong communication and cross-functional collaboration skills, with experience influencing technical decisions and aligning stakeholders to deliver impactful machine learning solutions.

Qualifications

• Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
  • Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
  • Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
  • Option 3: 6 years' experience in an analytics or related field
• Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
  • Data science, machine learning, optimization models
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
  • Successful completion of one or more assessments in Python, Spark, Scala, or R
  • Using open source frameworks (for example, scikit learn, tensorflow, torch)

Skills

• Data science, machine learning, optimization models
• Python, Spark, Scala, R
• Open source frameworks (scikit learn, tensorflow, torch)

Benefits

• Competitive pay
• Performance-based bonus awards
• Health benefits including medical, vision, and dental coverage
• Financial benefits including 401(k), stock purchase, and company-paid life insurance
• Paid time off benefits including PTO, parental leave, family care leave, bereavement, jury duty, and voting
• Short-term and long-term disability
• Company discounts
• Military Leave Pay
• Adoption and surrogacy expense reimbursement
• Education benefits through Live Better U

Pay

The annual salary range for this position is $132,000.00 - $264,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: Stock

Schedule

Flexible schedule to accommodate the needs of the role and the team.