Operations Analyst

Divergent•Torrance, CA

15h•Hybrid

About The Position

Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. Divergent is a technology company, based in Los Angeles, on a mission to build the 21st century industrial base with its proprietary Divergent Adaptive Production System (DAPS™). We automate the design, manufacture, and assembly of complex structures using non-design specific software, additive manufacturing, and robotic assembly. We actively work with governments, major automotive OEMS and aerospace primes globally, addressing the automotive, aerospace, aviation, transportation, and agricultural industries. We are seeking a hands-on, technical candidate to be the driver of our production data systemization and simulation efforts. As a member of the team, this candidate will operate at the intersection of manufacturing operations, data, and strategy and will be responsible for scoping, conceptualizing, and implementing high impact tools that drive factory operations. You will act as a translator between functional groups and leadership, partnering with cross functional stakeholders (Factory Data Acquisition, Data, Software, and Operations) to turn messy systems data into actionable insight. This is an applied, hands-on role that combines data architecture, analysis, and system design to make our operations measurable, predictable, and optimizable.

Requirements

Ability to lawfully access information and technology that is subject to US export controls
Bachelor’s or Master’s in Engineering, Data Science, Data Analytics, Operations Research, or related field (or equivalent experience)
Demonstrated experience in data analytics, process improvement, or similar roles
Strong proficiency in Python (pandas, NumPy, data pipelines, APIs, light scripting)
Strong proficiency in SQL and relational data modeling
Experience in front-end HTML development and web hosting
Demonstrated ability to perform descriptive and diagnostic analysis, basic statistics, and visualization
Demonstrated knowledge of manufacturing terminology and operational data modeling (cycle time, yield, throughput)
Demonstrated competency with data visualization tools like Power BI (or related)
Demonstrated competency with UI/workflow visualization tools (Figma, Illustrator, Visio)
Strong experience with presentation/organizational tools (Microsoft Suite, Atlassian Suite, Project Management Software, Smartsheet)
Experience gathering project requirements from stakeholders and taking a project from initial concept to finished product
Strong presentation and oral skills with the ability to translate technical concepts to non-technical audiences for stakeholders internal and external to the organization
Ability to translate messy and emergent business challenges into structured problem statements
Focus on detail, iterative design, human centered design, and systems thinking
Comfortable in a fast paced, dynamic environment
Ability to lean on and implement AI tools into daily workflow

Nice To Haves

Experience in a start-up, consulting, or similar high-growth, fast-paced, rapidly changing environment
Experience interfacing with engineering and manufacturing groups to understand system designs and the associated constraints
Experience interpreting engineering drawings and CAD
Familiarity with basic financial concepts and modeling
Familiarity with MES/ERP/SCADA (OPC-UA, MTConnect, MES/ERP systems, Splunk, InfluxDB)
Familiarity with operations research / optimization methods (OR Tools, Optuna)
Familiarity with statistical / machine-learning fundamentals and simulation frameworks (SimPy, AnyLogic)

Responsibilities

Partner with leadership to define, implement, and operationalize a measurement framework that translates raw data into structured parameters - revealing operational efficiency, quality, and financial insights.
Standardize our inputs/outputs across models to create continuity between forecasting, scheduling, cost, and pricing.
Extend, tune, and maintain a discrete-event simulation that drives factory performance, forecasts demand, and simulates factory scaling scenarios.
Prototype 0 à 1 parameterized data models and internal tools - including optimization tools, state machines, dashboards and simulation models that drive behavior across floor level operators, managers and executives.
Collaborate with factory operations and engineering teams to identify tool gaps and scope and drive internal and external tool implementations.
Collaborate with factory data teams to identify data gaps and scope and drive projects to connect factory sensors, equipment, MES, ERP, and other operational systems.
Drive projects through discovery, requirement definition, data backed proposal, functional prototyping, and formal implementation - including business case modeling and ROI justification for internal or external tool investments.
Conduct a broad range of ad-hoc analysis spanning from process efficiency to complex scenario analyses that inform scheduling, staffing, and investment decisions.
Create presentations, visual workflows, diagrams, and prototypes to communicate complex problems clearly and align stakeholders in a common direction.
Clean, validate, and prepare data for analysis and simulation.
Document systems, pipelines, and assumptions clearly to enable scaling.