Web Marketing Program - Digital Experience Data Scientist

Texas Instruments; Dallas (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Texas Instruments seeks a talented Data Scientist to join the Digital Experience Analytics team. Operating at the intersection of data science, marketing, and business strategy, you will apply advanced analytics and machine learning to large customer datasets to power personalized digital experiences and measure effectiveness.

The ideal candidate will collaborate with marketing, sales, and IT teams to deliver data products that support key business objectives, develop and deploy models, and

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or related field.
• Internship experience in data science or related role, preferably in sales/marketing/e-commerce.
• Experience deploying models in production and improving performance.
• Strong proficiency in Python or R for data analysis and ML.
• Experience with ML libraries such as scikit-learn, PyTorch, Kubeflow, Streamlit.
• Expertise in statistical analysis, experimental design, and causal inference.
• Strong proficiency in SQL and handling large datasets.
• Familiarity with cloud-based DS platforms (GCP, Vertex AI, AWS, Bedrock) and Unix/Linux.
• Innovator level knowledge of developments in DS and adjacent fields (Gen AI, HITL).
• Strong problem-solving and ability to translate analyses into insights.
• Excellent communication skills for non-technical audiences.

Responsibilities

• Develop advanced ML models for personalization and customer journey optimization in a B2B model.
• Identify opportunities to apply ML and analytics to improve digital program design and effectiveness.
• Collaborate on recommendation system components predicting messages for hundreds of thousands of users.
• Create predictive models to segment and label customer behavior with analysts for interventions.
• Work with engineering teams to drive scalable, real-time deployments.
• Translate business requirements into DS solutions with cross-functional teams.
• Design and run A/B tests with UX and marketing to optimize experiences and campaigns.
• Document models and ensure version control.
• Stay current with DS advances and apply new techniques to improve analytics capabilities.

Skills

Python

R

SQL

ML knowledge

Experiment design

Communication

Problem solving

Unix/Linux

Cloud platforms

Generative AI

Education

Bachelor's degree in Data Science or related field

Master's degree preferred

Tools

scikit-learn

PyTorch

Kubeflow

Streamlit

GCP

Vertex AI

AWS

Bedrock

Job description

Change the world. Love your job.

We are seeking a talented and innovative Data Scientist to join our Digital Experience Analytics team. Operating at the intersection of data science, marketing, and business strategy, you will apply advanced analytics and machine learning techniques to large customer datasets to power personalized digital experiences and measure their effectiveness.

Job Description

We are seeking a talented and innovative Data Scientist to join our Digital Experience Analytics team. Operating at the intersection of data science, marketing, and business strategy, 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. You will collaborate closely with our marketing, sales, and enterprise IT teams to deliver data products that support key business objectives. If you enjoy solving complex problems, building foundational data products, and influencing overall business strategy, we’d love to hear from you.

Key Responsibilities

• Develop advanced machine learning models for personalization and customer journey optimization in a complex B2B business model.
• Identify opportunities to use machine learning, AI, and advanced analytics techniques to improve digital program design and effectiveness.
• Partner with other data scientists in the development of recommendation system components that predict relevant product and content messages for hundreds of thousands of users.
• Create predictive models to segment, cluster and label customer behavior, partnering with analysts to identify opportunities for targeted interventions.
• Work closely with engineering teams to drive scalable, real-time implementations.
• Collaborate with cross-functional teams to translate business requirements into data science solutions.
• Partner with Digital Experience & UX strategists to design and conduct A/B tests to optimize digital experiences and marketing campaigns.
• Ensure data science best practices are followed and models are properly documented and version-controlled.
• Stay current with the latest advancements in data science and apply new techniques to improve our analytics capabilities.

Qualifications

Minimum Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
• Internship experience in data science or a related role, preferably in a sales, marketing or e-commerce context.
• Experience deploying models in production and adjusting models to improve performance.
• Strong proficiency in Python or R for data analysis and machine learning.
• Experience with machine learning libraries such as Python, scikit-learn, pyTorch, Kubeflow, Streamlit, etc.
• Expertise in statistical analysis, experimental design, and causal inference.
• Strong proficiency in SQL and experience working with large datasets.
• Familiarity with both cloud-based data science platforms (e.g., Google Cloud Platform, Vertex AI, AWS, BedRock) and Unix/Linux systems.
• Innovator level knowledge of developments in data science and adjacent fields (e.g. Generative AI, Human-in-the-Loop workflows) and their application.
• Strong problem-solving skills and ability to translate complex analyses into actionable insights.
• Excellent communication skills, with the ability to present technical concepts to non-technical audiences.

Preferred Qualifications

• Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related field.
• Experience with marketing automation and CRM systems (e.g., Salesforce, Marketo, HubSpot).
• Experience with Graph Databases (e.g., Memgraph, Neo4j, SpannerGraph)
• Experience with Customer Data Platforms (e.g., Tealium, Segment, ActionIQ).
• Knowledge of client-side web analytics tools and techniques (e.g., GA4, Adobe Analytics, Fullstory).
• Experience with natural language processing (NLP) and text analytics.
• Understanding of digital marketing concepts and customer journey mapping.

About Us

Why TI?

• Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
• We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
• Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here

About Texas Instruments

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

About The Team

TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.