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Lead Analytics Process Engineer

Los Angeles,CA

2202 Lead Analytics Process Engineer jobs in Los Angeles,CA

New, Posted 1 day ago
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Lead, Manufacturing Engineer, Integration & Test

Relativity Space

Long Beach, CA 90805

~ 29 min OnsiteUrgently Hiring

  • BS degree in aerospace, mechanical, electrical, manufacturing engineering or related technical field.
  • 5+ years of relevant work experience
  • Extensive experience authoring work instructions, mBOMs and technical procedures for interdisciplinary assemblies involving mechanical, electrical, and pneumatic systems.
  • Proven ability to work cross-functionally with design, manufacturing, production, and quality teams to execute and optimize build processes.
  • Strong understanding of mechanisms manufacturing and integrated assembly processes across mechanical, electrical, and pneumatic systems.
  • Experience executing and driving projects in a fast-paced, evolving environment.
SmartExplore AI is experimental.
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Director, Data and Analytics - Deal Advisory and Strategy

KPMG

Los Angeles, CA 90011

OnsiteHealth InsuranceRetirement Benefit

  • Minimum ten years of recent experience in design, development and delivery of data driven solutions; including at least five years as manager of managers in data & analytics delivery
  • Bachelors degree in Information Systems/Technology, Computer Science, any of the Engineering disciplines or a related field from an accredited college/university
  • Master’s or PhD from an accredited college/university preferred
  • Minimum three years of Microsoft Azure Data Platform hands on experience as an architect on Azure Data Lake, Azure Synapse, Azure Data Factory, Power BI, Azure ML with proven consulting and delivery leadership in Data Ingestion, Data Transformation, Data Modeling, Data Security, Data Governance, Data Visualization, Data Science
  • Experience in Agile project management including planning, organizing, coordinating and managing staff, clients and/or partners towards the successful completion of a project
  • Proven track record of managing customer-centric data driven solutions using Cloud native technologies (Azure) across a complex portfolio of stakeholders and fostering the development of high-performance teams (both onshore and offshore)
  • Strong communication skills and ability to present complex information concisely through written & verbal communication; experience hosting interviews, brainstorms / workshops with business teams and executives on data-related topics / projects
SmartExplore AI is experimental.
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New, Posted 7 hours ago
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Principal / Sr. Principal Signal / Image Processing Engineer

Northrop Grumman

Los Angeles, CA 90011

OnsiteHealth InsurancePaid Time Off

  • Active U.S. Government Top Secret Clearance and enrolled in Continuous Evaluation
  • Ability to meet customer-specific security screening requirements within a timeframe set forth by management
  • Willingness and ability to work onsite full-time in Woodland Hills, CA
  • Background in signal/image processing
  • Experience working in MATLAB and/or Python
  • Demonstrated presentation skills
  • Demonstrated effective communication and interpersonal skills, with the ability to collaborate effectively with internal and external stakeholders
  • 5 years of Engineering experience with a Bachelors of Science in a STEM discipline; 3 years of Engineering experience with Masters, or 1 year of Engineering experience with a PhD
  • 8 years of Engineering experience with a Bachelors of Science in a STEM discipline; 6 years of Engineering experience with Masters, or 4 year of Engineering experience with a PhD
  • This position is contingent upon the successful transfer of an active U.S. Government Top Secret Clearance and the ability to meet customer-specific security screening requirements within a timeframe set forth by management
  • Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.
SmartExplore AI is experimental.
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Lead, Manufacturing Engineer, Mechanical Assembly (Fluid Systems)

Relativity Space

Long Beach, CA 90805

~ 29 min Onsite

  • 5+ years of relevant work experience and BS degree in aerospace, mechanical, electrical, manufacturing engineering or related technical field.
  • Extensive experience authoring work instructions, mBOMs and technical procedures for interdisciplinary assemblies involving mechanical, electrical, and pneumatic systems.
  • Proven ability to work cross-functionally with design, manufacturing, production, and quality teams to execute and optimize build processes.
  • Strong understanding of mechanisms manufacturing and integrated assembly processes across mechanical, electrical, and pneumatic systems.
  • Experience executing and driving projects in a fast-paced, evolving environment.
SmartExplore AI is experimental.
View now
Recommended
Director, Data and Analytics - Deal Advisory and Strategy

KPMG

Los Angeles, CA 90032

OnsiteHealth InsuranceRetirement Benefit

  • Minimum ten years of recent experience in design, development and delivery of data driven solutions; including at least five years as manager of managers in data & analytics delivery
  • Bachelors degree in Information Systems/Technology, Computer Science, any of the Engineering disciplines or a related field from an accredited college/university
  • Master’s or PhD from an accredited college/university preferred
  • Minimum three years of Microsoft Azure Data Platform hands on experience as an architect on Azure Data Lake, Azure Synapse, Azure Data Factory, Power BI, Azure ML with proven consulting and delivery leadership in Data Ingestion, Data Transformation, Data Modeling, Data Security, Data Governance, Data Visualization, Data Science
  • Experience in Agile project management including planning, organizing, coordinating and managing staff, clients and/or partners towards the successful completion of a project
  • Proven track record of managing customer-centric data driven solutions using Cloud native technologies (Azure) across a complex portfolio of stakeholders and fostering the development of high-performance teams (both onshore and offshore)
  • Strong communication skills and ability to present complex information concisely through written & verbal communication; experience hosting interviews, brainstorms / workshops with business teams and executives on data-related topics / projects
SmartExplore AI is experimental.
View now
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Product Development & Support Engineer

Howmet Aerospace

Torrance, CA 90505

~ 24 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in engineering
  • 5+ years of experience in a technical customer facing role
  • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
  • This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items.
SmartExplore AI is experimental.
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Mid-Senior Data Engineer - SQL, Python, dbt & Snowflake

Kelly Services

City Of Industry, CA 91715

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Manufacturing Engineer Senior- Level 3

Lockheed Martin Corporation

Palmdale, CA 93550

~ 1 hr 10 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelors degree in STEM required to apply
  • Active Secret security clearance with an investigation within the last 5 years AND the ability to obtain special program access within 3 months of start date with LM.
  • Experience in an engineering discipline
  • Experience in a manufacturing environment working cross functionally with other disciplines including industrial engineering, planning, scheduling, Quality Assurance &/or production operations.
  • Experience in electrical harness design review, fabrication, and installation
  • Experience in supporting shop floor production activities and rapidly resolving constraints to minimize production impact.
  • Experience supporting various projects and coordinating activities related to the full life cycle of projects from conception to delivery.
  • Proficient working in 3D modelling software (CATIA (preferred), Creo, SolidWorks, Nx), product Lifecycle Manager (PLM) programs (e.g. 3DX, Teamcenter, PDM, etc.), and MES (Manufacturing Execution Systems) programs (iBASEt, SAP, etc.).
  • Experience with MRP system or SAP or other Manufacturing Execution System (MES) application
  • Experience with planning functions including Computer Aided Production Planning (CAPP) and Shop Order Maintenance (SOM)
SmartExplore AI is experimental.
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New, Posted 4 hours ago
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Sr Manufacturing Engineer (Panels)

Howmet Aerospace

Torrance, CA 90505

~ 24 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in engineering from 4-year university
  • Minimum 5 years of experience in engineering
  • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position
  • This position is subject to the International Traffic in Arms Regulations (ITAR) which requires U.S. person status. ITAR defines U.S. person as an U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee
  • Must be able to work on site in Torrance, California. Remote work not considered.
SmartExplore AI is experimental.
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New, Posted 9 hours ago
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NPI Manufacturing Engineer III

Integrated Polymer Solutions

Long Beach, CA 90808

~ 29 min OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Engineering, preferably Mechanical Engineering, Manufacturing Engineering, Aerospace Engineering, Chemical Engineering, Materials Engineering, or a related technical field.
  • Minimum of 5 years of relevant manufacturing engineering, NPI engineering, process engineering, or related technical experience.
  • Demonstrated experience supporting new product introduction, production launch, manufacturing process development, or process improvement in a manufacturing environment.
  • Experience developing manufacturing methods, process documentation, production controls, tooling concepts, or production readiness deliverables.
  • Experience in aerospace, defense, rubber manufacturing, polymer manufacturing, or high-mix / low-volume manufacturing is preferred.
  • Knowledge of manufacturing engineering principles and new product introduction processes.
  • Knowledge of rubber manufacturing principles and processes such as compression molding, transfer molding, extrusion, injection molding, bonding, coating, and tool design.
  • Ability to define manufacturing process sequences, process controls, labor standards, equipment needs, tooling requirements, and production readiness requirements.
  • CAD experience sufficient to support fixtures, jigs, layouts, tooling concepts, and manufacturing aids.
  • Working knowledge of GD&T;, drawing interpretation, mechanical testing, process validation, and inspection support requirements.
  • Experience supporting DFMEA, PFMEA, root cause analysis, corrective action, and manufacturing risk reduction activities.
  • Working knowledge of QMS procedures, phase gate deliverables, controlled forms, BOMs, routers, work instructions, ERP/MRP systems, and Microsoft Office.
  • Ability to evaluate manufacturing issues using practical problem-solving, data analysis, technical reasoning, and cross-functional input.
  • Working knowledge of design for rubber manufacturability, tooling support, process engineering, manufacturing documentation, project execution, and production launch.
  • Working knowledge across applicable support disciplines, which may include quoting and estimating, additive manufacturing, tooling design, project management, material science, automation, priming and bonding, coatings and painting, material preparation, kitting, or manufacturing coordination.
  • Ability to apply product and process knowledge to improve manufacturability, process stability, launch readiness, cost, and quality.
  • Strong analytical, technical, and practical problem-solving skills.
  • Strong written, verbal, and technical communication skills.
  • Ability to support technical efforts and work effectively with cross-functional teams.
  • Strong organizational and project execution skills.
  • Ability to manage multiple priorities in a high-mix, low-volume manufacturing environment.
  • Ability to drive assigned tasks to completion with limited supervision.
  • Strong attention to detail in manufacturing documentation, process planning, technical reviews, and production readiness activities.
SmartExplore AI is experimental.
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