Data Scientist

San Diego, CA

Full-time

Onsite

$99K/yr - $166K/yr

Entry Level

ASML is a leading company focused on harnessing the power of data to shape the future of technology. As a Data Scientist, you will leverage data to drive insights and solutions that support ASML's business and technology goals, collaborating with diverse teams to solve real-world challenges in semiconductor manufacturing.

Apply Now

Responsibilities

Analyze complex datasets to uncover trends and patterns that support strategic decision-making
Design and implement predictive models to address technological challenges within the semiconductor industry
Collaborate with cross-functional teams to translate business needs into data-driven solutions
Communicate findings in a clear and actionable manner to technical and non-technical audiences
Develop data visualization tools that make insights accessible and impactful
Ensure the quality and integrity of data through robust validation and testing processes
Stay up to date with best practices in data science and apply them to ongoing projects

Qualification

Required

Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
1 or more years of experience applying data science methods in a professional or academic setting
Experience working with industry-standard tools such as Python, R, or SQL
Background in developing and deploying predictive models using real-world datasets
You apply statistical methods and machine learning techniques with confidence
You communicate complex ideas clearly to a variety of audiences
Data Cleansing (ETL)
Deep understanding of statistics
Data storytelling
You handle large datasets efficiently and with attention to detail
You are comfortable using data visualization tools to share your insights
You work effectively both independently and as part of a team
You approach challenges with a growth mindset and a willingness to learn
You manage your time and priorities to meet deadlines
You demonstrate ethical responsibility in handling data and information
You proactively seek feedback and opportunities for personal and professional development
You adapt quickly to new technologies and evolving project requirements