Data Science Intern, Asset Intelligence

Job not on LinkedIn

🔥 13 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $25 - $40 / hour

⏱ Part Time

⚪️ Entry-level

📊 Data Scientist

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PerkinElmer

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1938

🍽️ Food & Beverage

🏥 Healthcare

💼 Consulting

Food & Beverage • Healthcare • Consulting

PerkinElmer is a global leader in providing analytical and testing solutions for a wide range of industries, including pharmaceuticals, food safety, environmental analysis, and industrial testing. The company offers advanced equipment and consumables, including mass spectrometers, chromatography instruments, and spectroscopy systems. With over 85 years of experience, PerkinElmer is committed to innovation and dedicated to partnering with laboratories worldwide to enhance scientific discovery and ensure product quality and safety. Their services support industries like healthcare, food and beverage, environmental testing, and industrial applications, helping clients meet compliance and quality standards.

📋 Description

• Trace asset records from raw customer intake through normalization, classification, and enrichment • Reproduce the production pipeline on sample data and confirm matching results • Document service judgment calls, evidence used, and fragile decisions • Build and maintain a gold-standard reference set of correctly classified instruments • Score match rate and classification accuracy by equipment class • Re-score after every change to demonstrate improvement • Cluster near-duplicate records and reconcile them with their alias sets • Improve classifier input text by separating technical capability language from application and use-case language • Analyze attribute coverage across the record base field by field • Maintain code and queries in the team repository • Write method notes alongside code for repeatable handoff • Perform ad hoc data pulls and analysis for the team

🎯 Requirements

• Currently enrolled in a bachelor's degree program in data science, statistics, computer science, or a related field • Working knowledge of Python and SQL • Available approximately ten hours per week during the academic term • Coursework or project experience in data cleaning, record matching, deduplication, or classification • Familiarity with pandas and Jupyter, or the equivalent in R • Some exposure to AI-assisted text processing, along with the instinct to verify what it returns rather than accept it • Comfortable working remotely from written direction with limited supervision • Clear written communication • Interest in scientific instrumentation or laboratory operations; no prior domain knowledge is required

🏖️ Benefits

• Hourly compensation of $25–$40 per hour • Part-time schedule of approximately ten hours per week during the academic term • Remote work arrangement