> Markdown version of [/jobs/ext/2719031-chemical-data-scientist](https://www.wearedevelopers.com/jobs/ext/2719031-chemical-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Chemical Data Scientist - **Company:** VALDERA INC. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Databases, Data Cleansing, Data Deduplication, Information Engineering, Extract Transform Load (ETL), Data Mining, Python (Programming Language), Unstructured Data, Large Language Models, Build Management, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/chemical-data-scientist-valdera-8769254 ## About the Role * 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 ## 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, 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. ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Valven Atlas: Engineering Intelligence That Delivers](https://www.wearedevelopers.com/videos/1660-valven-atlas-engineering-intelligence-that-delivers) - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)