Data Scientist New College Grad- Bachelor's/Master's (AI)

Location: Austin, TX, United States. Onsite role with approximately 10% travel; relocation is not eligible.

Salary: $80,000–$110,000 per year.

Company

hirify.global develops materials science, engineering, and semiconductor equipment solutions that support advanced chips and displays.

What you will do

• Develop, test, optimize, and support ETL/ELT pipelines using Python, SQL, PySpark, and modern data engineering frameworks.
• Build analytics-ready datasets on cloud data platforms by integrating transportation, ERP, and enterprise data.
• Perform data analysis and exploratory investigations to identify trends, anomalies, and business insights.
• Prepare and validate high-quality data for analytics, reporting, and machine learning initiatives.
• Support AI-driven and intelligent automation initiatives, data quality monitoring, troubleshooting, and operational support.
• Participate in design discussions, code reviews, and collaboration with data engineers, data scientists, and business stakeholders.

Requirements

• Bachelor’s or master’s degree in computer science, data science, information systems, software engineering, computer engineering, artificial intelligence, machine learning, or a related field.
• Strong foundation in Python and SQL, with an understanding of data structures and algorithms.
• Knowledge of data engineering, ETL/ELT, and data warehousing concepts.
• Exposure to PySpark, Apache Spark, or other distributed data processing frameworks.
• Understanding of data analysis, statistics, and machine learning fundamentals, plus experience with Pandas, NumPy, or similar libraries.
• Strong analytical, problem-solving, communication, and teamwork skills; a GPA of 3.0 or above is preferred.

Nice to have

• Familiarity with Azure, AWS, or GCP cloud platforms.
• Exposure to Databricks, Airflow, or similar data engineering tools.
• Familiarity with Power BI or Tableau.
• Exposure to generative AI, LLMs, or AI-assisted development tools.

Culture & Benefits

• Supportive environment focused on learning, professional development, and career growth.
• Employee health and wellbeing programs and comprehensive benefits.
• Potential eligibility for bonus and stock award programs, as applicable.
• Applications are reviewed on a rolling basis; applications are requested by November 30, 2026.