Data Scientist - Digital Experience

Change the world. Love your job.

We are seeking a talented and innovative Data Scientist to join our Digital Experience Analytics team to drive our personalization and customer journey modeling efforts. You'll work in a dynamic environment, leveraging advanced data science techniques to enhance TI's sales and marketing initiatives across TI.com and other digital channels. The ideal candidate will have a strong background in data science, machine learning, and marketing analytics, with experience in developing predictive models and deriving actionable insights from large datasets. You will collaborate closely with our marketing, sales, and IT teams to deliver data-driven solutions that support key business objectives.

Key Responsibilities :

Develop and implement advanced machine learning models for personalization and customer journey optimization in a complex B2B business model.

Partner in the development of recommendation system components that predict relevant product and content messages for hundreds of thousands of users.

Analyze large datasets to uncover patterns, trends, and insights that drive marketing and sales strategies.

Create predictive models to segment, cluster and label customer behavior, partnering with analysts to identify opportunities for targeted interventions.

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.

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.

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, personal electronics, communications equipment and enterprise systems. 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.

If you are interested in this position, please apply to this requisition.

Minimum requirements :

Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics or related field (ie bachelor's degree in electrical engineering)

3 years of experience in data science or related role

Experience deploying models in production and adjusting models to improve performance.

Strong proficiency in Python or R for data analysis and machine learning.

Expertise in statistical analysis, experimental design, and causal inference.

Preferred qualifications :

Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics or related field (ie bachelor's degree in electrical engineering)

Strong proficiency in SQL and experience working with large datasets.

Familiarity with both cloud-based data science platforms (e.g., Google Cloud AI, AWS SageMaker), and unix-based systems.

Innovator level knowledge of developments in data science and adjacent fields (ex. Generative AI) 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.

Experience with marketing automation and CRM systems (e.g., Salesforce, Marketo, HubSpot).

Experience with Customer Data Platforms (e.g., Tealium, Segment, ActionIQ).

Knowledge of client-side web analytics tools and techniques (e.q., GA4, Adobe Analytics, ContentSquare, Fulltory).

Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).

Experience with natural language processing (NLP) and text analytics.

Understanding of digital marketing concepts and customer journey mapping.

Experience with version control systems (e.g., Git) and collaborative data science workflows.