Data Scientist - Semiconductor Manufacturing (Richardson, Texas)

Change the world. Love your job.

Texas Instruments is seeking experienced Data Scientist to join our team. Responsibilities include :

Enable everyday experimentation & insights extraction on petabytes of semiconductor manufacturing data (time series, images, audio, etc.)

Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches

Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for semiconductor manufacturing operations. Interacts across the organization to identify questions and issues for data analysis and experiments

Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers

Create and utilize moderately complex algorithms and approaches, clean and synthesize training / test data, create / run simulations, and perform analysis of alternatives to best meet stakeholder requirements

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 mathematics, statistics, engineering, a relevant technical field, or equivalent

4 years of work experience in analytics, data querying (SQL : PostgreSQL, MySQL, redshift, big query), data manipulation using distributed analytics and process technologies (Hadoop, Spark, Hive, MapReduce, Databricks), and scripting languages (Python, R, Julia)

Familiarity with statistics such as Bayesian, parametric, non-parametric, or experiment design

Solid understanding of software development concepts, principles, and theories such as object-oriented programming, functional programming, unit tests, test driven design, DRY, abstraction, modularity, clean interfaces, domain driven design, etc.

Familiarity with common machine learning libraries for implementation such as sklearn, TensorFlow, torch, etc.

Preferred qualifications :

2 years of work experience in solving problems using quantitative methodologies, data-driven projects from idea to full implementation (architectural design, experimentation, metrics definition, communicating progress, driving progress, etc.)

Ability to establish strong relationships with key stakeholders critical to success, both internally and externally

Strong verbal and written communication skills

Ability to quickly ramp on new systems and processes

Demonstrated strong interpersonal, analytical and problem-solving skills

Ability to work in teams and collaborate effectively with people in different functions

Ability to take the initiative and drive for results

Strong time management skills that enable on-time project delivery

Experience building and evaluating ML models that operate on raw sensor data (detection, classification, tracking)

Experience building and evaluating ML models that operate on image data (detection, classification, tracking)

Familiarity with ML platforms such as data robot, dataiku, Alteryx