Data Science Intern

Brooks Automation · Other US Location

Company

Brooks Automation

Location

Other US Location

Type

Full Time

Job Description

At Brooks, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.

All we accomplish is grounded in our core values of World Class, Empowered, Accountable, Respectful, Engaged.

Data Science Intern

Job Description

Brooks is a growing, fast-paced technology leader of automation solutions which support the dynamic and expanding semiconductor and life sciences lab markets. At Brooks, new ideas, technologies and ways of thinking are driving our future. Our customer-focused culture encourages employees to embrace innovation and collaborate with one another to achieve new heights. We have a Summer Internship opportunity on our Data Science team.

What you'll do:

Machine Learning and predictive algorithm development, while engaging in research, design and automation implementations, delivering resolutions that have a direct business impact which are tailored to specific robot product line.

• Exploratory data analysis, Model creation, model deployment and optimization

• Develop tools to mine, clean, and analyze raw datasets detecting potential trends and insights

• Work with datasets on data association, clustering, segmentation, and filtering

• Apply feature engineering and statistical methods on datasets

• Determine suitable machine learning infer algorithm to use, for best application implementation of a predictive analytic tool and troubleshooting guide.

What you'll bring:

  • Enrolled in Computer Science, Mathematics, Physics, Statistics, or Data Science program

If any applicant is unable to complete an application or respond to a job opening because of a disability, please email at [email protected] for assistance.

Brooks Automation is an Equal Opportunity Employer. This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status.

Date Posted

01/14/2023

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