**Change the world. Love your job.** Texas Instruments is seeking experienced Data Scientist to join our team. As the Data Scientist in TI's Demand Analytics team, you will play a pivotal role in shaping and executing our demand planning and inventory buffer strategies for the company. You will be working side by side with a team of highly technical professionals that will consists of application developers, system architects, data scientists and data engineers. This role will be responsible for solving complex business problems through innovative solutions that deliver tangible business value. This position requires a technical leader with a strong technical background in AI/ML, simulation solutions, strategic thinking, and a passion for innovation through data. This team is responsible for: portfolio management for demand forecasting algorithms, generation of inventory buffer targets, segmentation of TI's products and simulation/validation frameworks, defining specs/reference architectures to best achieve business outcomes and ensuring security and interoperability between capabilities. Roles and duties: + Stakeholder engagement: + Work collaboratively and strategically with stakeholder groups to achieve TI business strategy and goals + Communicate complex technical concepts and influence final business outcomes with stakeholders effectively + Partner with cross-functional teams to identify and prioritize actionable, high-impact insights across a variety of core business areas + Technology and platforms: + Build simple, scalable and modular technology stacks using modern technologies and software engineering principles. + Simulate real world scenarios with various models and approaches to determine best fit of algorithms by varying the inputs across hundreds to thousands of variables + Research, experiment and implement new approaches and models that flex with the business strategy transformations + Leads data acquisition and engineering efforts + Develops and applies machine learning, AI and data engineering framework + Solutions, writes and debugs code for complex development projects + Oversees, evaluates and determines the best modeling techniques for various scenarios letting the data drive the conversation **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 (https://edbz.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/pages/4012) + 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. If you are interested in this position, please apply to this requisition. **Minimum requirements:** + MS or PhD in Computer Science, Software Engineering, Mathematics, Data Science or equivalent fields + Experience in Supply Chain in the Semiconductor, Retail, or Pharmaceutical industries or experience in demand forecasting techniques, algorithms and their practical applications **Preferred qualifications:** + 7+ years of relevant professional experience + 5+ years as an individual contributor doing applied AI or ML or advanced analytics + 5+ years' experience in extensive use of Python or data engineering platforms + Expert knowledge and experience in NLP, LLMs, predictive and prescriptive analytics approaches + Deep understanding of machine learning (ML) techniques including but not exhausted to clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, association rules, sequential pattern discovery and deep learning + Exemplary communication skills; oral and written, with ability to translate complex statistical and quantitative analysis into simple real-real world inferences, telling the story through data, for both technical and non-technical audiences + Expert level analytical and problem-solving skills with attention to detail.