Job Description

We can't predict what the future holds, but we know Texas Instruments will have a part in shaping it.
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

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.

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.
• 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.

AboutAs a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.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.

Texas Instruments