Data Scientist New College Grad- Bachelor's/Master's (Austin, TX)
About The Position
This position will be part of the Logistics Data Repository (LDR) team, which serves as the central data and analytics platform for logistics operations. LDR integrates data from transportation, ERP, and other enterprise systems, transforming it into a unified data foundation that supports reporting, analytics, operational visibility, AI-driven initiatives, and business decision-making. Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
Requirements
- Strong foundation in Python and SQL
- Understanding of Data Structures and Algorithms
- Exposure to PySpark, Apache Spark, or distributed data processing frameworks
- Knowledge of Data Engineering, ETL/ELT, and Data Warehousing concepts
- Familiarity with cloud platforms such as Azure, AWS, or GCP
- Understanding of data analysis, statistics, and machine learning fundamentals
- Experience with Pandas, NumPy, or similar data-processing libraries
- Bachelors or Masters degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, Artificial Intelligence, Machine Learning, or related field
- GPA of 3.0 or above preferred
- Strong analytical, problem-solving, communication, and teamwork skills with a demonstrated passion for working with data and technology.
Nice To Haves
- Exposure to Databricks, Airflow, or similar data engineering tools is preferred
- Familiarity with data visualization tools such as Power BI or Tableau is a plus
- Exposure to Generative AI, LLMs, or AI-assisted development tools is desirable
Responsibilities
- Develop and support ETL/ELT pipelines using Python, SQL, PySpark, and modern data engineering frameworks.
- Build, test, and optimize data pipelines and analytics-ready datasets on cloud data platforms.
- Perform data analysis and exploratory data investigations to identify trends, anomalies, and business insights.
- Support analytics, reporting, and machine learning initiatives by preparing and validating high-quality data.
- Collaborate with Data Engineers, Data Scientists, and business stakeholders to solve complex business problems through data-driven solutions.
- Support AI-driven and intelligent automation initiatives and contribute to identifying opportunities where AI can improve business processes and engineering productivity.
- Assist with data quality, monitoring, troubleshooting, and operational support activities.
- Participate in design discussions, code reviews, and continuous improvement initiatives.
Benefits
- supportive work culture that encourages you to learn, develop, and grow your career
- comprehensive benefits package
- participation in a bonus and a stock award program
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
