605 Data Science Human Resources jobs in San Jose,CA

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Data Management JOB Training Program

Year Up United - San Jose, CA

Data Management JOB Training Program

$525/wk

Onsite

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42A Human Resources Specialist

U.S. Army Reserves

San Francisco, CA 94112

~ 57 min OnsiteEducation AssistanceHealth InsurancePaid Time Off

Attend a 19-week paid training program to gain skills and certifications in
Business administration, performance management, employee relations, computer operations, human resource management software, personnel file management, record keeping, reporting staffing requirements, and personnel data reporting.
Advanced certifications require additional full funded training programs.

SmartExplore AI is experimental.

Recommended

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Clinical Laboratory Scientist

United States Army

San Jose, CA 95123

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42A Human Resources Specialist

U.S. Army Reserves

Fresno, CA 93722

~ 2 hr 38 min OnsiteEducation AssistanceHealth InsurancePaid Time Off

Attend a 19-week paid training program to gain skills and certifications in
Business administration, performance management, employee relations, computer operations, human resource management software, personnel file management, record keeping, reporting staffing requirements, and personnel data reporting.
Advanced certifications require additional full funded training programs.

SmartExplore AI is experimental.

New, Posted 7 hours ago

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Junior Applied AI Engineer- HRIS

Fortinet

Sunnyvale, CA 94086

New, Posted 1 hour ago

Senior Data Security Software Engineer

Dell

Santa Clara, CA 95051

New, Posted 7 hours ago

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Data Engineer

Cisco Systems

San Jose, CA 95134

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Data Center Lab Designer / Architect

Advanced Micro Devices

San Jose, CA 95124

Hybrid

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
Sets global lab design direction across business units and use cases
Deep expertise in large-scale data center infrastructure
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.

New, Posted 7 hours ago

Recommended

Senior/ Lead Data Solution Engineer

Meltwater

Redwood City, CA 94065

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Sr Staff Technical Program Manager, Strategy & Planning

Intuit

Mountain View, CA 94043

~ 21 min Onsite

Sr Staff Technical Program Manager
Design AI-native planning mechanisms at scale
Proven ability to turn ambiguous strategy into clear program plans, operating rhythms, and measurable outcomes in complex orgs.
Track record of leading complex cross functionals programs and driving adoption at scale to deliver outcomes.
Demonstrated ability to influence VP+ level executives and peers without authority, facilitate leadership conversations and decision making, drive alignment and accountability
Experience with transforming manual data collection and analysis processes with AI and Tech to improve speed to insights and trust in data.
High judgment and “systems thinking” mindset: understands how to operate as an ecosystem—connecting outcomes to drivers and ensuring insights become action.

SmartExplore AI is experimental.