Allfast Fastening Systems LLC is seeking a remote, salaried Manufacturing Data Scientist to transform complex operational data into actionable insights that lift productivity, quality, cost, reliability, and supply-chain performance across manufacturing and operations teams. This full-time role is based in City of Industry, California, with remote flexibility and a salary range of $100,000 to $135,000 per year.
Benefits
- Health coverage including medical insurance and prescription drugs
- Dental insurance
- Vision coverage
- Flexible spending accounts
- Life insurance
- Short-term disability
- Long-term disability insurance
- Employee assistance plan (EAP)
- Paid time off
- Retirement program
- Other voluntary benefits
Responsibilities
- Analyze data across manufacturing, production, quality, maintenance, inventory, and supply chain to spot trends, risks, inefficiencies, and improvement opportunities
- Build and maintain data pipelines and reusable analytics datasets using SQL and Python
- Develop predictive and prescriptive models for equipment reliability, predictive maintenance, quality forecasting, yield optimization, demand planning, inventory optimization, and production scheduling
- Extract, clean, reconcile, and integrate data from ERP, MES, quality systems, equipment sensors, HCM systems, and other operational sources
- Collaborate with manufacturing engineers, plant leaders, quality teams, supply chain professionals, and business stakeholders to define analytical requirements and measurable success criteria
- Design dashboards, reports, and visualizations that clearly communicate operational performance and model results
- Conduct root-cause analyses for production losses, downtime, scrap, rework, throughput, cycle time, and process variation
- Develop and monitor key performance indicators such as OEE, first-pass yield, schedule attainment, capacity utilization, downtime, scrap rate, and inventory accuracy
- Deploy analytical models and establish processes for monitoring model performance, data quality, and business impact
- Document data sources, methodologies, assumptions, model limitations, and technical processes
- Promote data literacy and analytical best practices across manufacturing and operations teams
- Ensure analytical solutions comply with data governance, security, quality, and regulatory requirements
Requirements
- Preferred location in Southern California with the ability to travel occasionally
- Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, operations research, or a related quantitative field
- 3+ years of professional experience in data science, advanced analytics, machine learning, operations analytics, or a closely related field
- 2+ years of experience working with ERP systems and associated operational data such as production orders, BOMs, routings, inventory, procurement, material movements, costing, or capacity planning
- 2+ years of experience with business intelligence tools such as Power BI, Tableau, and Looker
- Ability to translate ambiguous objectives into clearly defined problems
- Strong written, verbal, and visual communication skills
- Proficiency in Python, including libraries such as pandas, NumPy, scikit-learn or equivalent tools
- Proficiency in SQL, capable of writing complex queries, joins, CTEs, window functions, and data-quality checks
- Experience preparing, cleaning, joining, and analyzing large datasets from multiple systems
- Experience applying statistical analysis, machine learning, forecasting, optimization, or anomaly-detection techniques to business or operational problems
- Strong understanding of data validation, model evaluation, experimental design, and statistical reasoning
- Ability to collaborate effectively with both technical teams and manufacturing stakeholders
Technologies
Python, SQL, Power BI, Tableau, Looker, ERP systems, MES, HCM systems, quality systems
Compliance
Role involves access to technical data and hardware subject to U.S. export control laws and regulations, including ITAR and EAR. Employment is contingent upon verifying status as a U.S. Person under 22 C.F.R. § 120.15 or obtaining any required government authorization.
Compensation
The posted pay range is $100,000 to $135,000 per year, in line with pay-transparency requirements. Final compensation depends on qualifications, skills, experience, and location. Some roles may include equity, commissions, or other variable bonuses; details provided by the recruiting team during the interview process.
