Web Marketing Data Scientist - Personalization & Experiments

Texas Instruments Incorporated; Dallas, Northern (TX, KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Texas Instruments Incorporated seeks a talented Data Scientist to join our Digital Experience Analytics team. You will apply advanced analytics and machine learning techniques to large customer datasets to power personalized digital experiences and measure their effectiveness.

The ideal candidate will have a background in data science, machine learning, and marketing analytics, with experience in developing and deploying machine learning models.

Qualifications

• The ideal candidate will have a background in data science, machine learning, and marketing analytics, with experience in developing and deploying machine learning models.
• Experience collaborating with marketing, sales and IT to deliver data products that support key business objectives.

Responsibilities

• Develop advanced machine learning models for personalization and customer journey optimization.
• Identify opportunities to apply ML, AI, and analytics to improve digital program design and effectiveness.
• Partner with data scientists to build recommendation components for large user bases.
• Create predictive models to segment and label customer behavior and inform targeted interventions.
• Work with engineering teams to drive scalable, real-time implementations.
• Collaborate with cross-functional teams to translate business requirements into data science solutions.
• Design and conduct A/B tests to optimize digital experiences and marketing campaigns.
• Ensure models are documented and version-controlled and stay current with latest data science advancements.

Skills

Data Science

Machine Learning

Marketing Analytics

A/B Testing

Job description

Texas Instruments Incorporated seeks a talented Data Scientist to join our Digital Experience Analytics team. You will apply advanced analytics and machine learning techniques to large customer datasets to power personalized digital experiences and measure their effectiveness.

The ideal candidate will have a background in data science, machine learning, and marketing analytics, with experience in developing and deploying machine learning models.