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Chemical Data Scientist

4 days, 19 hours ago
United States
Full-time
Senior
Data Engineer
Data Science and Analytics
LLM Machine Learning Python
Apply Now
Valdera

Valdera

Valdera is a sourcing platform that connects companies with best-in-class suppliers of chemicals and raw materials. Their technology enables businesses to access specialized inputs and formulations for creating sustainable and branded products across v...

Chemicals
11-50
View All Jobs 10

Description

  • Design and build pipelines to collect supplier data and chemical product information from supplier sites, distributor catalogs, trade databases, and other public or semi-structured sources.
  • Develop and maintain web scrapers and automated ETL workflows to keep supplier and product data current at scale.
  • Clean, normalize, and reconcile inconsistent supplier data into structured, standardized formats for internal tools and analytics.
  • Apply chemical domain knowledge to validate and enrich data, including resolving product names, CAS numbers, synonyms, and specifications.
  • Evaluate and improve matching and classification models that map suppliers and products to buyer requirements.
  • Partner with Supplier Management and Engineering to define data quality standards, identify coverage gaps, and prioritize new data sources.
  • Own pipeline health and data quality, and drive KPIs that measure overall data coverage.

Requirements

  • 5+ years of experience in a data science, data engineering, or applied data role, ideally with messy, real-world or industrial datasets.
  • Working knowledge of chemistry or chemical industry data, including CAS numbers, chemical properties, SDS documents, NAICS classification, and supplier certifications.
  • Strong Python skills with experience building web scrapers and data pipelines.
  • Experience with data cleaning and normalization at scale, with an eye for inconsistencies in unstructured data.
  • Familiarity with matching, deduplication, or classification models, including traditional ML or LLM-based approaches.
  • Hands-on experience using AI tools and LLMs to accelerate data extraction, enrichment, or engineering workflows.
  • Startup mindset with strong ownership and the ability to work independently in a fast-moving, remote environment with evolving priorities.

Benefits

  • Salary range based on market, internal parity, budget, location, skills, qualifications, and experience.
  • Generous benefits package.
  • More detailed benefits breakdown provided prior to joining.
  • Equal opportunity employer with a diverse and inclusive workplace.

Interested in this position?

Apply directly on the company website

Apply Now

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