valdera - Chemical Data Scientist

Remote - San Francisco, CA1w ago

Remote Senior NA Artificial Intelligence Data Analytics Data Scientist Buyer Documentation Python Nordics Supplier Management Data Quality

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

Responsibilities

• 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 • 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

Benefits

• Salary ranges are determined by multiple factors, including the labor market, market compensation bands, internal parity, and budget considerations. The final offer will be based on the candidate’s individual skills, qualifications, location, and experience relative to the requirements of the role. • Valdera offers generous benefits to employees. You will be provided a more detailed breakdown of your options prior to joining Valdera.