Manufacturing Analytics Specialist

Divergent; City of Long Beach (NY); Sur place; USD 100 000 - 138 000; Plein temps

Avantages offerts par ce poste

Holistic compensation package

Paid time off & holidays

Health and wellness benefits

Growth and development support

Collaborative, high-performing team

Résumé du poste

Divergent is seeking a mid-level Operations Analyst with a manufacturing analytics focus to turn production data into actionable insight and decision tools. This role applies statistical and machine learning methods to production data and helps develop models for granular time and cost prediction, unifying factory data sources into a cohesive data model.

The role spans manufacturing intelligence workstreams, including process improvement, simulation, equipment connectivity, and factory scaling,

Qualifications

• Bachelor’s or Master’s in Data Science, Statistics, CS, Operations Research, or related field (or equivalent experience).
• Demonstrated experience in operations analytics, analytics engineering, data science, or data-intensive manufacturing roles.
• Hands-on experience with production data and shop floor execution in a manufacturing environment.
• Python: pandas, NumPy, scikit-learn, statsmodels, matplotlib/Plotly; data extraction, API integration, task automation.
• SQL: complex joins, window functions, CTEs; relational data modeling; cleaning and validation of high-volume data.
• Applied statistics and supervised ML: hypothesis testing, regression, classification, ensembles; cross-validation; anomaly detection.
• Manufacturing operational metrics (cycle time, yield, throughput, utilization, OEE, WIP).
• Git; documented, reproducible code.
• Integration of AI tools into daily workflow.
• Independent project ownership and management; translate business problems into structured analytical approaches.

Responsabilités

• Develop and validate statistical and ML models correlating process time, staffing, and engineering data for granular time and cost prediction (pricing, simulation, scaling).
• Unify equipment, MES, ERP/BOM, staffing, and engineering data into a cohesive data model serving pricing, simulation, and predictive tools.
• Define source mappings, metric definitions, and data quality rules; partner to operationalize data and software tools.
• Identify operational inefficiencies and implement data-driven process improvements with operations and automation teams.
• Lead cross-functional projects from discovery through ROI justification and implementation.
• Conduct ad hoc and scenario analyses supporting pricing, capacity, staffing, and investment decisions.
• Communicate and document data models, methodology, and assumptions for technical and non-technical stakeholders.

Connaissances

Python data science

SQL experience

Statistics & ML

Data modeling

Communication with stakeholders

Git

Project ownership

Manufacturing analytics

Formation

Bachelor’s or Master’s in Data Science/Statistics/CS/OR

Outils

Databricks

SimPy/AnyLogic

OR-Tools

Description du poste

Divergent is seeking a mid-level Operations Analyst with a manufacturing analytics focus to turn production data into actionable insight and decision tools. This role applies statistical and machine learning methods to production data and helps develop models for granular time and cost prediction, unifying factory data sources into a cohesive data model.

The role spans manufacturing intelligence workstreams, including process improvement, simulation, equipment connectivity, and factory scaling,