AceStack
Operations Data Science & Analytics Lead with SAP
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Operations Data Science & Analytics Lead, remote, on a contract basis. Requires 12+ years of experience, advanced SQL, Python, R, and ERP knowledge, particularly with SAP. Strong communication skills and manufacturing domain experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 16, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Synapse #Data Quality #AI (Artificial Intelligence) #Data Architecture #R #"ETL (Extract #Transform #Load)" #SAP Hana #SAP #Lean #Python #Scala #Agile #Strategy #Storytelling #BI (Business Intelligence) #SQL (Structured Query Language) #SQL Server #ML (Machine Learning) #Data Modeling #Data Science #Microsoft Power BI #Visualization
Role description
Role : Operations Data Science & Analytics Lead
Location : Remote
Contract
As an Operations Data Science & Analytics Lead, you will be responsible for designing, implementing, and scaling data science and analytics solutions to support decision-making across Global Operations.
Key Responsibilities
• Lead data science and analytics strategy aligned with Lam’s enterprise analytics standards, principles, and COE guidelines.
• Partner with Global Operations business units to identify business problems and opportunities, define requirements, and deliver data-driven solutions.
• Develop proof-of-concepts, perform back-testing, and translate analytical insights into scalable production solutions.
• Manage and coordinate enterprise-level analytics, data science, and architecture programs aligned with business goals.
• Design and deploy advanced analytics, AI/ML models, and scalable business processes to support measurable business outcomes.
• Apply continuous improvement and lean-agile methodologies to accelerate analytics delivery and adoption.
• Collaborate closely with data architecture, application development, and business development teams to design complex, compliant solutions.
• Develop meaningful KPIs and metrics aligned with enterprise and line-of-business strategies.
• Present insights and recommendations through clear storytelling and executive-ready visualizations.
• Ensure transparency of deliverables, timelines, and progress while leading cross-functional project teams.
• Build and maintain strong stakeholder relationships at all organizational levels.
Preferred Qualifications
• Experience:
o Bachelor’s degree with 12+ years of relevant experience, or
o Master’s degree with 8+ years, or
o PhD with 5+ years, or equivalent experience.
• Technical Expertise:
o Strong experience building AI/ML, advanced analytics, and data science solutions in enterprise environments.
o Advanced SQL skills for extracting and transforming data from enterprise data platforms including SAP HANA, SQL Server, Data Factory, Data Fabric, Synapse, and related systems.
o Expertise in Python, R, Power BI, MS Excel, and statistical modeling techniques.
o Strong understanding of data modeling, data quality standards, and governance frameworks.
• ERP & Domain Knowledge:
o Hands-on experience with SAP ECC / S4 HANA or similar ERP systems.
o Deep knowledge of manufacturing and operations domains including Material & Vendor Master, Purchasing, MRP, Order Management, BOM, Logistics, Spares, and Warehouse Management.
o Manufacturing domain experience strongly preferred.
• Business & Communication Skills:
o Proven ability to present complex analytics insights to senior leaders and large audiences.
o Strong storytelling and visualization skills to drive executive decision-making.
o Experience producing clear, concise reports in multiple formats (Power BI, PDF, Word, BI tools).
Role : Operations Data Science & Analytics Lead
Location : Remote
Contract
As an Operations Data Science & Analytics Lead, you will be responsible for designing, implementing, and scaling data science and analytics solutions to support decision-making across Global Operations.
Key Responsibilities
• Lead data science and analytics strategy aligned with Lam’s enterprise analytics standards, principles, and COE guidelines.
• Partner with Global Operations business units to identify business problems and opportunities, define requirements, and deliver data-driven solutions.
• Develop proof-of-concepts, perform back-testing, and translate analytical insights into scalable production solutions.
• Manage and coordinate enterprise-level analytics, data science, and architecture programs aligned with business goals.
• Design and deploy advanced analytics, AI/ML models, and scalable business processes to support measurable business outcomes.
• Apply continuous improvement and lean-agile methodologies to accelerate analytics delivery and adoption.
• Collaborate closely with data architecture, application development, and business development teams to design complex, compliant solutions.
• Develop meaningful KPIs and metrics aligned with enterprise and line-of-business strategies.
• Present insights and recommendations through clear storytelling and executive-ready visualizations.
• Ensure transparency of deliverables, timelines, and progress while leading cross-functional project teams.
• Build and maintain strong stakeholder relationships at all organizational levels.
Preferred Qualifications
• Experience:
o Bachelor’s degree with 12+ years of relevant experience, or
o Master’s degree with 8+ years, or
o PhD with 5+ years, or equivalent experience.
• Technical Expertise:
o Strong experience building AI/ML, advanced analytics, and data science solutions in enterprise environments.
o Advanced SQL skills for extracting and transforming data from enterprise data platforms including SAP HANA, SQL Server, Data Factory, Data Fabric, Synapse, and related systems.
o Expertise in Python, R, Power BI, MS Excel, and statistical modeling techniques.
o Strong understanding of data modeling, data quality standards, and governance frameworks.
• ERP & Domain Knowledge:
o Hands-on experience with SAP ECC / S4 HANA or similar ERP systems.
o Deep knowledge of manufacturing and operations domains including Material & Vendor Master, Purchasing, MRP, Order Management, BOM, Logistics, Spares, and Warehouse Management.
o Manufacturing domain experience strongly preferred.
• Business & Communication Skills:
o Proven ability to present complex analytics insights to senior leaders and large audiences.
o Strong storytelling and visualization skills to drive executive decision-making.
o Experience producing clear, concise reports in multiple formats (Power BI, PDF, Word, BI tools).
