Valdera

Chemical Data Scientist

Remote, San Francisco, CA

Sponsorship not specifiedDetected 5 days ago

PythonMachine LearningData EngineeringData ScienceLLMsExcelProcurement

About the role

When a buyer launches a request, they expect to be matched with the right suppliers and accurate specs on the first try.
You're energized by messy, real-world data and confident partnering with Supplier Management and Engineering to close coverage gaps.

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
Apply chemical domain knowledge to validate and enrich data - resolving product names, CAS numbers, synonyms, and specifications across suppliers
We make it effortless for companies to find the best materials and suppliers for their needs, enabling them to build high-quality products at scale and deliver them to millions of consumers worldwide.
If you're looking for a fast-paced environment where your ideas will drive real change, Valdera is the place for you.

5+ years of experience in a data science, data engineering, or applied data role, ideally with exposure to messy, real-world or industrial datasets.
Experience with data cleaning and normalization at scale, and a good eye for spotting inconsistencies in unstructured data
Hands-on experience using AI tools and LLMs to accelerate data extraction, enrichment, or engineering workflows
This requires strong data engineering fundamentals and a working knowledge of chemical industry data.

Salary ranges are determined by multiple factors, including the labor market, market compensation bands, internal parity, and budget considerations.

Valdera offers generous benefits to employees.
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
We are a fast-growing company that hires talented, hardworking people who excel in high-performance environments and want to grow their careers quickly.

At Valdera, we empower innovators to turn ideas into reality by transforming how manufacturers source materials.
We are a team of ambitious, results-driven individuals with a proven track record of working with Fortune 500 industrial manufacturers, beauty brands, and chemical companies.
Our culture is built for exceptional individuals to take on meaningful challenges, collaborate with the top minds in our industry, and see the direct impact of their work.
We are dedicated to maintaining a workplace free from discrimination, where everyone feels valued, respected, and empowered to contribute.

Employer Statement: Valdera is an equal-opportunity employer committed to building a diverse and inclusive team.
We welcome applicants of all backgrounds and celebrate a culture that values varied perspectives, skills, and experiences.
Valdera is an equal-opportunity employer committed to building a diverse and inclusive team.
Equal Opportunity Employer Statement: Valdera is an equal-opportunity employer committed to building a diverse and inclusive team.

This listing is sourced directly from Valdera's careers page and normalized into a canonical job model.