Penumbrainc

Data Science Engineer Intern

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The Data Science Engineering Intern T will be involved in projects designed to develop professional work knowledge and skills, supporting efforts and projects crucial to the company's success. The role involves transforming disconnected data into a searchable metadata system to streamline engineering analysis and enable new data analysis methods. The intern will also work on a project showcasing technical depth and user experience to build internal enterprise machine learning, accelerating innovation cycles.

Director of Accounting Close and Operations

General Summary

The Data Science Engineering Intern T will work on project opportunities that are designed to develop professional work knowledge and the abilities to support the efforts and projects that have global importance to the success of the business. The work involves transforming information that currently lives in disconnected PDFs, spreadsheets, and other various forms into a searchable, intelligent metadata system to streamline Engineering analysis, and enable new ways for data analysis. With direction from experienced engineers and access to a collaborative technical team, this role will also work on a portfolio project that showcases technical depth and UX to architect internal enterprise ML that will accelerate innovation cycles.

 

Specific Duties and Responsibilities

Under the supervision of an assigned engineer or experienced designee, the Data Science Engineering Intern T will:

• Architect and build a smart, structured metadata layer that enables faster, more accurate access to quality control data.

• Develop AI/ML tools that identify and tag important data attributes—such as supplier names, part numbers, spec limits, and inspection parameters. *

• Assist in the creation of a metadata system and chat user interface that enables fast, intuitive querying and analysis via RAG (Retrieval Augmented Generation). *

• Parse and clean structured and unstructured datasets work with AI tools such as OCR and intelligently convert spreadsheets to fit a single architecture. *

• Resolve inconsistencies across data and build schemas for Vector DB.*

• Adhere to the Company’s Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. *

• Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. *

• Ensure other members of the department follow the QMS, regulations, standards, and procedures. *

• Perform other work-related duties as assigned.

 

*Indicates an essential function of the role

 

Required Qualifications

Minimum education and experience

• Junior or Senior pursuing a Bachelor's degree in Data Science, Computer Science or related field.

 

Preferred qualifications

• Experience with Python and common data libraries (pandas, NumPy, etc.). Experience with Azure ML is a plus.

• Interest or background in machine learning, NLP, or ETL data modeling is a plus.

• Comfortable working with large and unstructured datasets.

• Self-starter with strong problem-solving skills.

• Resourceful and security-driven development practices with strict adherence to industry data compliance. (HIPAA, SOC2, etc.)

• Strong oral, written, and interpersonal communications skills are required.

• High degree of accuracy and attention to detail.

• Proficiency with MS Word, Excel, and other standard office tools.

 

Location and Pay: 

Alameda, CA

$21.00 to $33.00/hour

 

Working Conditions

• General office environment.

• Willingness and ability to work on site.

• Must be able to move between buildings and floors.

• Must be able to remain stationary and use a computer or other standard office. equipment, such as a printer or copy machine, for an extensive period of time each day.

• Must be able to read, prepare emails, and produce documents and spreadsheets.

• Must be able to move within the office and access file cabinets or supplies, as needed.

• Must be able to communicate and exchange accurate information with employees at all levels on a daily basis.

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