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Data Scientist - Semiconductor Manufacturing (Richardson, Texas)

  • Job
    Full-time
    Mid Level
  • Data
    Software Engineering
  • Richardson

AI generated summary

  • You need a bachelor's in a technical field, 4+ years in analytics, SQL, data manipulation, Python, and ML libraries, plus solid software development and communication skills.
  • You will analyze vast semiconductor data, develop ML models, create software for data integration, and collaborate on actionable insights to enhance manufacturing operations.

Requirements

  • 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

Responsibilities

  • 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

FAQs

What is the primary focus of the Data Scientist position at Texas Instruments?

The primary focus is to enable experimentation and insights extraction on semiconductor manufacturing data, develop and support statistical and machine learning models, and generate actionable insights for manufacturing operations.

What qualifications are required for the Data Scientist role?

Required qualifications include a Bachelor's degree in a relevant technical field, 4+ years of experience in analytics and data querying, familiarity with statistics, software development principles, and common machine learning libraries.

Is prior experience in semiconductor manufacturing necessary for this position?

While prior experience in semiconductor manufacturing is not explicitly required, candidates should have a strong background in data analytics and machine learning as it applies to manufacturing data.

What programming languages and technologies should candidates be familiar with?

Candidates should be proficient in SQL (PostgreSQL, MySQL, etc.), distributed analytics technologies (Hadoop, Spark), and scripting languages such as Python, R, or Julia.

What are the preferred qualifications for this role?

Preferred qualifications include 2 years of experience in quantitative methodologies, problem-solving skills, strong communication abilities, and experience with machine learning models that operate on raw sensor and image data.

What benefits does Texas Instruments offer to its employees?

Texas Instruments offers competitive pay and benefits designed to help employees and their families live their best lives, focusing on overall well-being.

What is the work environment like at Texas Instruments?

Texas Instruments values a diverse and inclusive work environment, encouraging collaboration among employees from various backgrounds and perspectives.

How does Texas Instruments support professional development for its employees?

Texas Instruments empowers its employees to own their careers and development, encouraging collaboration with talented peers to help shape the future of electronics.

What types of data will the Data Scientist work with?

The Data Scientist will work with various data types, including time series data, images, and audio from semiconductor manufacturing processes.

Are relocation packages available for candidates applying to this position?

The job description does not mention relocation packages, so it is advisable to inquire during the application process for more information.

Manufacturing & Electronics
Industry
10,001+
Employees

Mission & Purpose

Texas Instruments has been making progress possible for decades. We are a global semiconductor company that designs, manufactures, tests and sells analog and embedded processing chips. Our more than 80,000 products help over 100,000 customers efficiently manage power, accurately sense and transmit data and provide the core control or processing in their designs, going into markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. Our passion to create a better world by making electronics more affordable through semiconductors is alive today as each generation of innovation builds upon the last to make our technology smaller, more efficient, more reliable and more affordable – opening new markets and making it possible for semiconductors to go into electronics everywhere. We think of this as Engineering Progress. It’s what we do and have been doing for decades.