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Mountain View,CA

582 Data Analyst With jobs in Mountain View,CA

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PG&E Corporation

Oakland, CA 94612

Hybrid~ 49 min

  • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business or equivalent field.
  • 6 years of relevant work experience OR 5 years of relevant work experience and a Master's degree OR 3 year of relevant work experience and a Doctorate degree.
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Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning

Annapurna Labs (U.S.)

Cupertino, CA 95014

New, Posted 15 hours ago
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Data Center Technician

TEKsystems

Santa Clara, CA 95050

$35-$37/hr
~ 17 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 2+ years of Data Center Technician, Data Center Operations, or related experience
  • Hands-on server hardware troubleshooting and break/fix experience
  • Experience diagnosing and isolating hardware failures
  • Rack and stack experience within a data center environment
  • Copper and fiber cabling experience
  • Experience working from support tickets and incident queues
  • Strong communication and teamwork skills
  • Ability to work independently during overnight shifts
  • Comfortable working in a fast-paced production environment
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Strategic Supply Chain Planner - Data Center

Oracle

Santa Clara, CA 95051

~ 17 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 6-10+ years of experience in supply chain planning, materials planning, manufacturing coordination, or related hardware supply chain roles
  • Experience supporting complex, high-tech, or cloud infrastructure supply chains
  • Experience working with contract manufacturers, engineering teams, and materials execution functions
  • Demonstrated experience balancing demand, supply, and manufacturing capacity in a fast-moving environment
  • Experience supporting product transitions, clean-to-build analysis, or supply recovery efforts preferred
  • Strong understanding of end-to-end supply chain planning, including demand planning, materials, manufacturing capacity, and inventory management
  • Ability to evaluate clean-to-build, material readiness, and supply feasibility
  • Strong analytical and problem-solving skills with the ability to turn data into decisions
  • Experience with Oracle Fusion Cloud Supply Chain Planning or similar enterprise planning systems preferred
  • Proficiency with Excel, reporting tools, and supply chain data analysis
  • Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements
  • US: Hiring Range in USD from: $102,300 to $209,500 per annum
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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid~ 27 min

  • The Candidate will have a minimum of 5 years of experience with AI, preferably including ML, preferably with experience in statistical analytic techniques.
  • A Bachelor's degree in Data Science, Engineering, Science, Computer Science or Mathematics is required
  • Strong knowledge of statistical methods, experimental design, regression, classification, clustering, anomaly detection, and model evaluation.
  • Programming skills in Python and experience with common data-science and machine-learning libraries.
  • Several years of professional experience applying machine learning, artificial intelligence, advanced statistics, and data science to real-world engineering or manufacturing problems.
  • Experience with SQL and modern data-processing or data-platform technologies.
  • Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.
  • Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks is a plus.
  • Experience working with structured, time-series, sensor, or high-volume manufacturing data.
  • Exposure to wafer fabrication, photonics, and telecommunications is a plus.
  • Ability to work collaboratively with domain experts and explain complex analytical results in practical engineering terms.
  • Demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.
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Sr. Applied Scientist, Sensors, Sensor Algorithms

Amazon.com Services LLC

Sunnyvale, CA 94087

~ 11 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
  • Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
  • Experience creating novel algorithms and advancing the state of the art
SmartExplore AI is experimental.
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Financial Planner & Analyst Manager

Hitachi

Santa Clara, CA 95051

~ 17 min Onsite

  • Bachelor ' s degree and five or more years of work experience in finance and accounting are required
  • Knowledge of general accounting rules
  • Advance Excel skills
  • Ability to work outside regular working hours for conference calls and meetings with global partners
  • Should be able and willing to travel occasionally within the US and overseas as needed
  • Experience in Japanese company and Japanese language skill preferred
  • Knowledge of SAP is preferred
  • Knowledge of contracts is highly preferred
  • Prior experience with R&D; preferred
  • Should possess strong analytical skills problem-solving capabilities
  • Excellent interpersonal and communication skills
  • Location: Santa Clara, CA
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Data Center Lab Designer / Architect

Advanced Micro Devices

San Jose, CA 95124

Hybrid~ 22 min

  • Data Center Lab Designer / Architect
  • Lead technical evaluation, lab design strategy, infrastructure standards, and construction oversight for high-density data center environments
  • Site readiness, infrastructure scalability, and deployment execution align with AMD's performance, efficiency, and 3-5 year product roadmap requirements
  • Set global lab design direction across business units and use cases
  • Strong design leadership and project execution skills
  • Devise strategies for complex, high-density compute environments
  • Align cross-functional teams to deliver against active project milestones
  • Establish global design standards across labs and business units
  • Strong analytical thinking, executive communication, and stakeholder alignment skills
  • Plan infrastructure evolution aligned to future product roadmaps
  • Identify risk early and drive mitigation through structured governance
  • Data Center Due Diligence & Strategic Assessment: Perform technical due diligence on new and existing facilities
  • Evaluate power availability, redundancy, cooling capacity, environmental risk, connectivity, and expansion potential
  • Review infrastructure drawings, layouts, and single-line diagrams
  • Assess design maturity (Concept through IFC) and contractor capability
  • Identify technical, schedule, and scalability risks with structured reporting
  • Validate infrastructure alignment with high-density and future roadmap requirements
  • Lab Design & Global Standards Leadership: Develop scalable, modular lab designs optimized for density, airflow, accessibility, and operational efficiency
  • Set direction and define global lab design standards across AMD BUs and use cases
  • Ensure compliance with industry standards and evolving best practices
  • Integrate energy-efficient and sustainable design principles into all deployments
  • Utilize advanced modeling and simulation tools for airflow and thermal validation where required
  • Infrastructure Strategy & Technology Integration: Define corporate standards for power distribution, cooling systems, IT networking space, and rack density
  • Assess and implement high-density and liquid cooling readiness
  • Support integration of renewable energy strategies and advanced cooling technologies
  • Lead implementation and governance of DCIM, monitoring, and automation platforms
  • Ensure modular and POD-based expansion strategies support long-term scalability
  • Construction Monitoring & Deployment Governance: Monitor construction progress, quality, and contractor performance
  • Evaluate supply chain readiness for critical long-lead infrastructure components
  • Track execution against schedule and budget constraints
  • Lead design reviews and ensure alignment between intent and build
  • Oversee commissioning and validate operational readiness prior to deployment
  • Stakeholder & Program Management: Lead cross-functional collaboration across IT, Facilities, Real Estate, Procurement, and Product SMEs
  • Manage multiple concurrent projects while maintaining delivery timelines
  • Liaise with vendors and contractors to ensure installation timelines and standards adherence
  • Provide executive-level reporting on risk, budget, and schedule health
  • Maintain detailed documentation of specifications, assessments, and progress tracking
  • Preferred Experience: Semiconductor or high-density data center design, construction, or operations
  • Proven experience in large-scale lab or data center architecture and build-outs
  • Strong background in infrastructure assessment and technical due diligence
  • Experience reviewing construction drawings and overseeing commissioning
  • Familiarity with high-density computing, cloud-scale environments, and high-performance networks
  • Experience with airflow modeling or thermal simulation tools
  • Knowledge of DCIM and infrastructure monitoring systems
  • Relevant data center certifications (DCCA, CDCDP, or similar) preferred
SmartExplore AI is experimental.
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Estimator

East Bay Restaurant Supply

Oakland, CA 94610

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Sr Principal Program Cost and Schedule Control Analyst

Northrop Grumman

Sunnyvale, CA 94087

~ 11 min OnsiteEducation AssistanceHealth InsurancePaid Time Off

  • Bachelor's degree with 8 years of related professional experience - OR - a Master's degree with 6 years of related professional experience
  • Will consider 12 years of applied experience in lieu of degree requirement.
  • Experience with financial systems including cost performance reporting and analysis
  • Experience with Earned Value and performance measurement baseline concepts and ability to apply them to multiple contracts, CLINs and control accounts.
  • Strong PC skills - specifically Excel proficiency (including pivot tables, Vlookup, and conditional formatting)
  • Ability to travel domestically 25% of the time.
  • US Citizenship is required
SmartExplore AI is experimental.
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