Chemical Data Scientist

🕒 July 17

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 49%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Valdera

WebsiteLinkedInAll Job Openings

11 - 50 employees

🚘 Automotive

🏭 Manufacturing

🍽️ Food & Beverage

Automotive • Manufacturing • Food & Beverage

Valdera is a modern sourcing platform that simplifies the buying and selling of high-quality chemicals and raw materials. It connects buyers with quality suppliers globally, utilizing AI and machine learning to automate supplier discovery and qualification. Valdera is not a distributor or marketplace; instead, it streamlines the procurement process, helping businesses anticipate market changes and source at scale. The platform caters to various industries, including chemical manufacturing, beauty, pharma, automotive, and more, building partnerships between buyers and suppliers worldwide. Valdera aims to transform supply chain management by providing market intelligence and a smart, user-friendly platform.

📋 Description

• Design and build pipelines to collect supplier data and chemical product information (specifications, CAS numbers, certifications, SDS/regulatory documents, NAICS classification of manufacturing plants) from supplier sites, distributor catalogs, trade databases, and other public and 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 suitable for internal tools and analytics • Apply chemical domain knowledge to validate and enrich data — resolving product names, CAS numbers, synonyms, and specifications across suppliers • Evaluate and improve matching and classification models to map suppliers and products to buyer requirements, and to identify overlapping or equivalent chemical offerings • Partner with Supplier Management and Engineering to define data quality standards, identify gaps in supplier coverage, and prioritize new data sources. • Own pipeline health and data quality, and drive the KPIs that measure overall data coverage

🎯 Requirements

• 5+ years of experience in a data science, data engineering, or applied data role, ideally with exposure to messy, real-world or industrial datasets. • Working knowledge of chemistry or chemical industry data — comfort with 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, and a good eye for spotting inconsistencies in unstructured data • Familiarity with building or applying matching, deduplication, or classification models (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 a strong sense of ownership — comfortable working independently in a fast-moving, remote environment with ambiguous, evolving priorities

🏖️ Benefits

• Valdera offers generous benefits to employees. You will be provided a more detailed breakdown of your options prior to joining Valdera.