--- title: 'Chemical Data Scientist at Valdera' canonical: 'https://feeny.ai/job/chemical-data-scientist-valdera-san-francisco-je1221j03471' type: 'job' last_seen: '2026-09-08' --- # Chemical Data Scientist at Valdera - **Company:** Valdera - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-07-17 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/valdera/0e194789-14c4-4352-979c-9826b846bae1 ## Job description About Valdera: At Valdera, we empower innovators to turn ideas into reality by transforming how manufacturers source materials. 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. 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. We are a fast-growing company that hires talented, hardworking people who excel in high-performance environments and want to grow their careers quickly. 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. If you’re looking for a fast-paced environment where your ideas will drive real change, Valdera is the place for you. Join us, and let’s shape the future of manufacturing together. Role Description: We are hiring a Chemical Data Scientist to build and maintain the pipelines that keep Valdera's supplier and chemical product data accurate, current, and structured — the foundation every buyer and supplier relies on across Valdera's procurement platform. Data quality plays a critical role at Valdera. When a buyer launches a request, they expect to be matched with the right suppliers and accurate specs on the first try. Delivering that depends on clean, current data — CAS numbers, specifications, certifications, and regulatory documents pulled from thousands of inconsistent, often messy sources. This requires strong data engineering fundamentals and a working knowledge of chemical industry data. For example, you might take dozens of differently structured chemical supplier catalogs and turn them into one clean, standardized product database. You will take ownership of the full data pipeline — from scrapers and ETL workflows to data cleaning, matching, and classification models that connect suppliers to buyer requirements. You're energized by messy, real-world data and confident partnering with Supplier Management and Engineering to close coverage gaps. As a data-obsessed professional, you're dedicated to the accuracy our buyers and suppliers depend on. Role 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 - 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 Experience & Qualifications: - 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 Salary Range: 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. Benefits: Valdera offers generous benefits to employees. You will be provided a more detailed breakdown of your options prior to joining Valdera. Equal Opportunity 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. We are dedicated to maintaining a workplace free from discrimination, where everyone feels valued, respected, and empowered to contribute. ## About Valdera ## Company Overview - **One-liner**: Valdera is an AI-powered digital sourcing platform that helps businesses buy and sell chemicals and raw materials efficiently. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States (with an office in Casciana Terme Lari, Italy) - **Founded**: 2020 - **Founders**: Sruti Arulmani (CEO) and Dheev Arulmani (COO) ## Core Business - **Primary industry**: Chemical and raw materials procurement / supply chain technology. - **Target customers**: B2B – enterprise buyers and suppliers across industries such as chemical manufacturing, pharmaceuticals, beauty, food & beverage, industrial manufacturing, oil & gas, automotive, and more. - **Mission/Purpose**: To modernize the antiquated chemical sourcing process using AI, data science, and machine learning, bringing transparency, efficiency, and sustainability to direct materials procurement. ## Products & Services - **Valdera Platform (SaaS)**: An AI operating system for chemical and raw material procurement. It ingests a buyer’s total raw material spend, creates a digital control tower of materials and suppliers, applies market intelligence, and enables end-to-end workflows including supplier discovery, RFQ routing, quoting, logistics evaluation, and qualification of new materials. The platform is not a marketplace or distributor; it matches buyers with qualified, best-fit suppliers globally. ## Market Standing - **Valuation/Market Cap**: Not publicly available. - **Key Metric**: Total funding raised **$15M** (Series A led by Index Ventures, announced October 2024; previous seed round in October 2021). - **Notable Investors**: Index Ventures (lead), with 5 investors participating in the Series A. - **Growth Signals**: - Database of **400,000+ suppliers**, **1.7M+ CAS numbers**, spanning **130 countries**. - Partners with Fortune 500 industrial manufacturers and major household names in beauty, pharma, etc. (customers spending >$10B in raw materials). - Featured at DPW New York 2026, a leading procurement and supply chain technology event. - Headcount of approximately **40 employees** (LinkedIn, verified) distributed across 12 countries. - Active hiring for roles such as Customer Success Manager, Chemical Data Scientist, Forward Deployed Engineer, Founding Enterprise Account Executive, and Product Manager. ## Competitive Advantages - **Vertical focus**: Unlike generic LLMs, Valdera builds its data architecture and AI models specifically for chemicals and raw materials, handling complex specifications, chemical structures, and regulatory requirements. - **Vast proprietary dataset**: The platform’s market intelligence draws on an extensive supplier and CAS-number database, enabling accurate discovery and qualification. - **End-to-end digitization**: Covers the entire workflow of a category manager, from spend analysis to supplier qualification, reducing manual processes and enabling 10–50x capability improvements. ## Strategic Focus - Continue to expand the platform’s market intelligence layer and AI capabilities for direct materials procurement. - Drive adoption among large industrial and consumer goods buyers. - Enable sustainability tracking (packaging, shipping, environmental impact) as part of the sourcing process. - Grow the partner ecosystem and support global expansion (office in Italy, remote workforce across 12 countries). ## Why Work Here - **Culture & Mission**: Opportunity to build “the world’s best procurement sourcing platform” and disrupt a massive, antiquated industry using cutting-edge AI and data science. - **Remote/Hybrid**: Remote-first working environment; office spaces available in San Francisco and New York. - **Compensation & Benefits**: - 100% employer-paid premiums for Medical, Dental, and Vision (coverage for dependents also available). - Competitive compensation, pre-IPO equity with 4-year vest and 1-year cliff, plus 401(k) with Traditional & ROTH options. - Monthly wellness bonus. - Generous and flexible PTO, sick leave, parental leave, and 11 company-paid holidays. - **Engineering Culture**: Roles include Forward Deployed Engineer and Chemical Data Scientist, focusing on real-world AI/ML challenges in supply chain. The team values accuracy and domain expertise over generic models. ## Sources 1. [Valdera Homepage](https://www.valdera.com/) 2. [Valdera About Page](https://www.valdera.com/about/) 3. [Valdera Careers (Lever)](https://jobs.lever.co/valdera) 4. [Valdera LinkedIn Company Page](https://linkedin.com/company/valdera) 5. [CB Insights Company Profile](https://www.cbinsights.com/company/valdera) ## Other roles at Valdera - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-valdera-san-francisco-fwcjd83bqysd) — San Francisco, CA - [Chemicals Supplier Engagement Specialist](https://feeny.ai/job/chemicals-supplier-engagement-specialist-valdera-singapore-grgddjq4qa9g) — Singapore - [Executive Assistant](https://feeny.ai/job/executive-assistant-valdera-san-francisco-s9tmpr3fjtn3) — San Francisco, CA - [Enterprise Account Executive (Europe)](https://feeny.ai/job/enterprise-account-executive-europe-valdera-germany-b5z34k54p963) — Germany - [Customer Success Manager (Europe)](https://feeny.ai/job/customer-success-manager-europe-valdera-germany-vfr71bbgdfrv) — Germany - [Customer Success Manager (North America)](https://feeny.ai/job/customer-success-manager-north-america-valdera-new-york-mst6w00syje4) — New York, NY - [Chemical Procurement Specialist](https://feeny.ai/job/chemical-procurement-specialist-valdera-barcelona-76jp78ke6e5x) — Barcelona, Spain - [Chemical Procurement Specialist](https://feeny.ai/job/chemical-procurement-specialist-valdera-sao-paulo-a8b1by4v93t7) — São Paulo, Brazil - [Product Manager](https://feeny.ai/job/product-manager-valdera-san-francisco-kz63qaf7dhv8) — San Francisco, CA - [Chemicals Supplier Engagement Specialist](https://feeny.ai/job/chemicals-supplier-engagement-specialist-valdera-mexico-city-yp99qdwbzw6h) — Mexico City, Mexico