ACS International India Pvt. Ltd. (ACSII)

Job Responsibilities: • Materials Solutions Platform Development &amp; Strategic Impact- Collaborate with Materials SME, platform architects and product managers to define data-driven features for Materials (e.g. polymer selection, formulation prediction, and performance benchmarking) across multiple application segments. • Data Extraction and Pipeline Development- Design and manage data extraction pipelines for materials-related documents (TDS, patents, publications) using Python, spaCy, ChemDataExtractor, OCR tools. • Build automated workflows for data cleaning, annotation, tagging, and mapping using pandas, NumPy, regex, Snakemake. • Semantic Modeling &amp; Knowledge Graphs- Create structured databases and semantic knowledge graphs linking structure, properties, and applications using Neo4j, GraphDB, RDF, OWL. • Support ontology development in collaboration with domain scientists (e.g., polymer thesaurus, CAS Lexicon) using Protégé, OWL, XML. • AI/ML Dataset Preparation- Deliver validated, AI-ready datasets for property prediction, formulation optimization, material recommendation, or performance analysis using scikit-learn, TensorFlow, PyTorch. • Collaborate with software, NLP, and product teams to integrate polymer data into customer-facing tools or internal dashboards. • Data Quality &amp; Interoperability- Ensure data accuracy, consistency, and interoperability across all informatics workflows. • Document pipelines and models using Jupyter Notebooks and maintain reproducibility standards with version control (GitHub). Ideal Candidate will have • A data-oriented technologist with a passion for organizing and structuring scientific knowledge. • Solid foundation in data science or informatics, combined with a working understanding of structure-property-application relationships in materials/polymers.• Prior experience working with scientific or technical data from TDS, patents, or journals. • Skills in building pipelines, semantic models, and knowledge graphs for complex scientific data domains. • Mindset that values data Values clean data, reproducibility, and cross-disciplinary collaboration. Job Requirements: • B.Tech / M.Tech / Ph.D. in Data Science, Computer Science, Chemical Informatics, or Materials Informatics.• 2–6 years of experience in informatics/data science roles with exposure to scientific/engineering domains. • Proficiency in Python, SQL, and data science libraries (pandas, spaCy, scikit-learn). • Experience with semantic modeling, graph databases (e.g., Neo4j, GraphDB), and knowledge representation standards (RDF, OWL). • Exposure to polymer/materials datasets and platforms like PoLyInfo, CAS SciFinder, MatWeb (preferred). • Familiarity with cheminformatics tools (RDKit, ChemAxon) and NLP pipelines for scientific text mining

Data Science