
1001 - 5000 employees
Founded 2016
π Manufacturing
π€ B2B
π° $12M Grant - AdvanSix on 2024-09
Manufacturing β’ B2B
AdvanSix is a U. S. -based chemical manufacturer that produces nylon 6, caprolactam, ammonium sulfate and other chemical intermediates and performance materials for industrial customers. The company operates integrated chemical production facilities supplying polymers, fibers and specialty chemicals to customers in plastics, textiles, agriculture (fertilizers) and other industrial markets. AdvanSix primarily serves business customers (B2B) and focuses on large-scale manufacturing and materials production.
π₯ 7 minutes ago
πΊπΈ United States β Remote
π΅ $118.8k - $178.2k / year
β° Full Time
π Senior
π Data Scientist
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1001 - 5000 employees
Founded 2016
π Manufacturing
π€ B2B
π° $12M Grant - AdvanSix on 2024-09
Manufacturing β’ B2B
AdvanSix is a U. S. -based chemical manufacturer that produces nylon 6, caprolactam, ammonium sulfate and other chemical intermediates and performance materials for industrial customers. The company operates integrated chemical production facilities supplying polymers, fibers and specialty chemicals to customers in plastics, textiles, agriculture (fertilizers) and other industrial markets. AdvanSix primarily serves business customers (B2B) and focuses on large-scale manufacturing and materials production.
β’ Own and evolve the enterprise reference architecture for secure, scalable OT-to-IT data integration across plant systems, DMZ layers, and the Unified Data Platform β’ Provide architectural oversight to ensure all integrations align with enterprise design principles and future analytics/AI needs. β’ Define and govern enterprise standards for OT data integration, including protocols, data models, security, and data quality. β’ Create reusable onboarding patterns, templates, and playbooks to enable consistent, scalable integration across sites. β’ Define and operate defensible architectures for OT data egress: OPC UA servers, MQTT/AMQP brokers, data diodes/one-way gateways, and DMZ nodes; prohibit direct control-network access. β’ Design store-and-forward and buffering strategies to protect control systems and ensure data continuity during outages. β’ Build/oversee extraction from PHD/PI historians, DCS/PLC/SCADA, LIMS, and lab instruments; implement event frames (batches, phases, grade changes), alarm/event streams, and equipment hierarchies (asset models/AF). β’ Condition signals (resampling, dead-banding, interpolation, outlier/sensor validation), apply units/calibration metadata, and align to production calendars and ISA-88/95 structures. β’ Implement observability: freshness, gap detection, tag quality/availability, schema drift; build dashboards and alerts; own on-call runbooks and incident response for OT data flows. β’ Enforce ISA-62443/ISA-99 controls with Cyber/IT (RBAC, credential vaulting, patching, vulnerability remediation). β’ Partner with plant controls, process engineering, Reliability/Maintenance, and HSE to prioritize tags, events, and KPIs. β’ Work with the Manager, Unified Data Platform & AI Engineering to land curated OT data with lineage/DQ and with the Reporting & BI team to certify datasets. β’ Act as the single thread leader for OT data integration across plants. Drive roadmap and prioritization across OT, IT, and business stakeholders.
β’ Minimum 7 years' in OT/controls or OT data integration across DCS/PLC/SCADA and historians. β’ Experience delivering production-grade data pipelines and working with enterprise data platforms (e.g., UDP, Lakehouse) β’ Hands-on with Honeywell PHD and/or AVEVA PI (interfaces/connectors, AF/asset models, event frames). β’ Strong knowledge of OPC UA, MQTT (Sparkplug B a plus), Kepware/Ignition or equivalent gateways/brokers. β’ Proven experience implementing DMZ/broker architectures, firewall rules, certificates, and no control-net reads designs. β’ Time-series conditioning and event modeling; exposure to ISA-88/95 and batch/phase concepts. β’ Scripting and data tooling: SQL, Python (validation/utilities), and comfort with Windows Server services. β’ Familiarity with SAP S/4HANA data touchpoints and LIMS integrations for sample results and quality events. β’ Working knowledge of security frameworks (ISA/IEC 62443), least-privilege, secrets/cert management.
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