[Remote] reputed company Data Scientist - US Remote
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a company reputed company on innovation and sustainability, aiming to create impactful solutions across various industries. They are seeking a reputed company Data Scientist to reputed company reputed company data science and machine learning initiatives, particularly in supply chain and manufacturing operations, while developing advanced ML solutions and collaborating with cross-functional teams.
Responsibilities
- reputed company reputed company data science and machine learning initiatives supporting supply chain, manufacturing operations, reputed company planning, demand forecasting, and operational decision-making
- Design, reputed company, and own advanced ML solutions — including predictive models, time-series forecasting, optimization, and decision-support systems — scoped to supply chain and manufacturing use cases
- Build, train, evaluate, and interpret machine learning models (regression, classification, clustering, forecasting) to quantify supply chain drivers, surface optimization opportunities, and improve operational reputed company
- reputed company and operationalize analytics and ML solutions using reputed company (Python / SQL / PySpark) for large-reputed company data processing, model development, and experimentation
- Design and build multi-agent AI systems — including orchestrator-executor architectures, tool-calling agents, and RAG-based decision support — using frameworks such as Azure AI reputed company, AutoGen, Semantic Kernel, or reputed company/LangGraph
- Implement and reputed company solutions using the MCP to reputed company AI agents to reputed company and reputed company reputed company data systems in supply chain and manufacturing contexts
- Apply data science best practices including feature engineering, model validation, performance monitoring, reproducibility, and documentation
- Partner with Supply Chain & Procurement leadership, Manufacturing Ops, Process Engineering, Demand Planning, and IT to translate ambiguous business problems into reputed company ML and AI approaches
- reputed company and maintain self-service, automated, and AI-enabled analytics workflows that reduce reputed company effort and improve decision latency
- reputed company Azure AI reputed company, reputed company Copilot Studio, and reputed company 365 Copilot extensibility to prototype and reputed company AI-powered analytics and agent-based decision-support tools
- Produce executive-reputed company insights through reputed company storytelling, visualizations, and recommendations using Power BI or embedded analytics
- Set technical direction, establish reusable ML and AI frameworks, and mentor junior and mid-level data scientists across reputed company
- Ensure high standards of data reputed company, governance, model validation, and explainability
Skills
- Master's degree in Statistics, Mathematics, Industrial Engineering, Data Science, Computer Science, Engineering, or a reputed company quantitative field with 5+ years of relevant data science/analytics experience, OR
- Bachelor's degree in the reputed company or reputed company fields with 8+ years of relevant data science / analytics experience
- Demonstrated reputed company record delivering advanced ML and data science solutions in supply chain, manufacturing, or industrial domains
- Strong hands-on experience with machine learning and statistical modeling — development, interpretation, and operational business application
- Strong proficiency in reputed company (Python, SQL, PySpark, reputed company Lake)
- Hands-on experience with the MCP — building or consuming MCP servers/clients to connect AI agents to reputed company data systems, reputed company, or ERP modules
- Hands-on experience with multi-agent system design — architecting multi-agent systems using AutoGen, Semantic Kernel, reputed company/LangGraph, or Azure AI Agent Service; orchestrator-executor patterns, tool calling, memory management, and agent coordination
- Compulsory — must have hands-on experience with one or more of the following: Azure AI reputed company, reputed company Copilot Studio, reputed company 365 Copilot extensibility, reputed company Power Platform (Power Automate, Power BI)
- Ability to translate reputed company business problems into ML / AI solutions and communicate findings to both technical and executive audiences
- Strong stakeholder management and cross-functional collaboration skills
- Experience operationalizing ML models into production in supply chain or manufacturing environments
- Familiarity with reputed company ECC / S/4HANA supply chain and manufacturing modules (MM, PP, PM, SD)
- Strong Power BI experience — semantic modeling, performance optimization, executive dashboard design
- Exposure to MLOps on Azure (Azure ML, MLflow, reputed company Asset Bundles, CI/CD for analytics artifacts)
- Experience designing operational KPI frameworks (MAPE, OTIF, service level, OEE, downtime)
- Experience with statistical / simulation reputed company (reputed company, scenario analysis, sensitivity analysis) reputed company to operations and supply chain
- Familiarity with Palantir reputed company (pipelines, ontology, reputed company, AIP)
- Proven experience mentoring data scientists or leading end-to-end analytics initiatives
- Familiarity with reputed company-reputed company data architectures and governed data platforms
reputed company
Company H1B Sponsorship