דרושים מדען נתונים ב-Applied Materials ב-ארהב

Key Responsibilities

• Supports ad-hoc statistical and data mining analysis, using statistical tools like R, Python, Unix.
• Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis
• Supports project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.
• Supports the design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources
• Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics

Functional Knowledge

• Demonstrates conceptual knowledge of theories, practices and procedures within a discipline

Business Expertise

• Applies general knowledge of business developed through education or past experience

Leadership

• No supervisory responsibilities; accountable for developing technical contribution

Problem Solving

• Uses existing procedures to solve standard problems; analyzes information and standard practices to make judgments

Impact

• Has limited impact on own work team; works within standardized procedures and practices to achieve objectives and meet deadlines

interpersonal Skills

• Exchanges straightforward information, asks questions and checks for understanding

Key Responsibilities

Technically lead and/or execute engineering projects and spearhead research and development of new technologies as appropriate. Defines experiments and determines the type of meaningful data required to support evaluation and technical decision

Lead and/or develop, and executes complex system projects. Leads module design and engineering. Takes active part in the design of complex modules / sub-modules. Qualifies complex systems

Problem identification and troubleshooting a wide range of complex problems. Leads research and analysis results. Supports high level / complex physics related application and system issues in the lab and in the field when required.

Function as specialist for physics/scientists issues, while influencing and utilizing expertise in interfacing with external and internal customers, lead and/or develop and execute system projects, troubleshooting system problems, and defining system specifications and schedules. Reviews and approves system and sub-system requirements and specifications designed by other team members.

Apply principles, theories, and concepts. Contributes to the development of new principles and concepts. Participates in product risk management discussions leveraging his / her expertise and knowledge to influence and drive risk management decisions

Provide mentoring for less experiencedphysicist/scientists.

Research new technologies and analyze competition technology. Evaluate new technologies. Plan and execute complex feasibility studies of new technologies and lead the decision making process. Prepare and deliver papers regarding new technologies, share and promote new ideas and capabilities. Plans and executes feasibility studies of complete systems / sub-systems, leveraging new technologies and design concepts. Leads the demonstration of new capabilities

Functional Knowledge

• Demonstrates depth and/or breadth of expertise in own specialized discipline or field

Business Expertise

• Interprets internal/external business challenges and recommends best practices to improve products, processes or services

Leadership

• May lead functional teams or projects with moderate resource requirements, risk, and/or complexity

Problem Solving

• Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions

Impact

• Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies

Interpersonal Skills

• Communicates difficult concepts and negotiates with others to adopt a different point of view

Key Responsibilities:

• Chemistry and materials design for screening and optimization applications with special emphasis on at least one of the following areas: thermal transport, polymer materials formation and viscosity, low and high dielectric materials, work function metals, precursor design for purity of deposition, and selectivity in etch chemistry
• Scope the diverse cutting-edge materials and chemistry discovery tools on the market for potential future value and prioritize what methods warrant further exploration
• Evaluate a variety of MLIP’s for validation required property prediction and potential extend to fine-tuning of MLIP’s for increased accuracy.
• Recommend atomic-scale changes to structure and/or processing conditions to influence observed properties
• Provide parameters, inputs, and/or guidance for higher-level process, feature, and reactor models
• Hypothesize and test mechanisms to determine the root-cause of observed behavior
• Work effectively with external vendor software providers in testing new features and functionality of new products
• Work effectively with internal multi-disciplinary teams of experimentalists, modelers, and computing infrastructure support teams
• Demonstrate analytical and engineering judgement to scope and assess the appropriate level of model required
• Proactively validate/correlate results with real world data to improve models
• Present complex in-depth technical material in a concise manner
• Advocate for the power of modeling while also communicating limitations
• Serve as a business unit chemistry, materials, or physics expert

Minimum Qualifications:

• Must have a PhD or Master’s degree in Material Science, Chemical Engineering, Mathematics, Physics, or a related field with an availability range between August 2025 – Dec 2025
• Experience or academics with:
  • FirstPrinciples/Ab-initio/DensityFunctional Theory (local orbital and plane wave), Molecular Dynamics, and/or Monte Carlo methods
  • Machine learning interatomic potentials both at the training stage and inference stage. Experience with both universal and focused approaches a plus.
  • Programming (Python, C, Fortran, etc.), scripting (python, Linux), and databases
• Knowledge of informatics, artificial intelligence, machine learning, and data science approaches

Preferred Qualifications:

• Polymer structure creation to property prediction such as viscosity
• Inverse design
• Enumerative atomic structure model prediction (diffusion models and beyond)
• Multi-step reaction network discovery
• Materials and/or chemistry discovery

What We Offer

Job Summary:

Key Responsibilities:

• Analyze complex datasets from multiple sources (e.g., SAP, PLM, Manufacturing systems, ERP, CRM, data lakes, Databricks) to identify trends, opportunities, and anomalies across Applied Materials data systems.

• Develop and maintain dashboards, KPIs, and reports to support business units with actionable intelligence.

• Work closely with Data Architects, Engineers, and Governance teams to ensure data quality, lineage, and compliance with data standards.

• Translate business needs into analytics requirements and deliver data solutions aligned with organizational goals.

• Support advanced analytics initiatives such as yield analysis, root cause detection, and predictive maintenance using statistical and machine learning techniques.

• Collaborate with cross-functional teams to identify and develop data solutions

• Ensure alignment with enterprise data governance policies, including metadata management, data stewardship, and regulatory compliance.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, Statistics, or related field.

• 5–8 years of experience in data analysis, preferably in the semiconductor or high-tech manufacturing industry.

• Knowledge of semiconductor systems and data types (e.g., yield, test data, machine logs).

• Must be Proficient in SQL, Python or R, and data visualization tools (e.g., Power BI, Tableau).

• Hands-on experience with SAP (e.g., SAP ECC, MDG, BW) and RDBMS systems (Oracle, Postgres, SQL server etc.)

• Experience with modern data platforms such as Snowflake, Databricks, Azure Synapse, or Google BigQuery.

• Familiarity with data warehousing concepts, data governance, and data quality frameworks.

• Experience working in cloud platforms (e.g., Azure, AWS, GCP).

• Strong communication skills with the ability to present complex data insights to non-technical stakeholders.

Preferred Certifications:

• Tableau and Microsoft Power BI Data Analyst Associate or similar

• SAP Certified Application Associate – Reporting or Analytics

• Certified in Data Management or Data Governance (e.g., CDMP from DAMA), Cloud, AI/ML

What We Offer

Job Summary

Key Responsibilities

• Design and maintain a robust, secure, and scalable data architecture aligned with enterprise and digital transformation strategies.

• Define conceptual, logical and physical data models for structured and unstructured data from enterprise systems to support research, metrology, labs, ERP, MES, finance, corporate, PLM, and IoT systems.

• Architect, and identify data and process standardization opportunities with data across labs, research, design tools, manufacturing facilities, supply chain systems, finance systems, manufacturing systems, ERP, PLM, home grown applications and external partners.

• Enable data governance practices for critical business data to ensure metadata management, master data consistency, lineage tracking, and compliance with SEMI and industry regulations.

• Partner with application and enterprise architecture teams with the adoption of modern cloud-based data platforms (e.g., Databricks, Azure) and big data technologies to support analytics, AI/ML use cases.

• Collaborate with data engineers, business analysts, data scientists, enterprise architects, domain SMEs, and operational teams to understand requirements and translate them into data architecture strategies.

• Establish data architecture frameworks, standards, and policies tailored to the semiconductor domain’s complexities and scale.

Qualifications

Education:

• Bachelor’s or Master’s degree in computer science, Information systems, or a related field.

Experience:

• 8–12 years of experience in enterprise data architecture, preferably within semiconductor, electronics, or manufacturing domains.

• Preferred experience with Semi industry-specific systems

• Knowledge of semiconductor processes, manufacturing, supply chain, and data-intensive engineering environments.

Technical Skills:

• Must have string expertise in data architecture and modeling (relational, NoSQL)

• Must be proficient in big data and modern data platforms: Databricks, Hadoop

• Understanding with ETL/ELT tools like Informatica or DataStage

• Experience with enterprise reporting tools, Tableau, PowerBI.

• Familiarity with SAP systems and integration strategies.

• Hands-on experience with data governance tools and frameworks. Ex: Informatica, Collibra, Alation

• Familiarity with cloud services (Azure, AWS, or GCP).

• Understanding of AI/ML data workflows

Soft Skills:

• Strong communication and stakeholder management across technical, business and project management teams

• Strategic thinker with hands-on technical execution ability.

• Strong analytical and problem-solving skills.

Preferred Qualifications

• TOGAF, DAMA, or other architecture/data management certifications.

• Certification in data governance, Informatica, Cloud, AI/ML or SAP data tools preferred.

Key Responsibilities

• Serve as an interface with selected business units and GIS Sales, Operations, Engineering, Service and Finance domains for the purpose of business and Business intelligence, big data and AI/ML technology strategy alignment, solution discovery, service management, project portfolio mgmt.

• Validates and ensures design integrity of Business Intelligence, big data and AI/ML application and platform solutions to address complex cross functional needs. Oversee application and platform development and configuration for complex individual projects and/or across multiple, concurrent projects. Develops testing and data integration strategies. Identifies and recommend industry BKM's for integrated solution design and standards, and develop and enforce defined standards; Keeps abreast of technologies in the market and drive new technology evaluations.

• Oversees business Intelligence, big data and AI/ML application and platform support services to meet performance, availability, customer service level agreement and customer satisfaction targets. Ensure systems are monitored and tuned for availability and performance, and that rigorous root cause analysis is performed andpreventative/correctiveactions implemented. Oversees execution of application and platform lifecycle activities.

• Ensures delivery of project and support services within area of responsibility within allocated budget. Develops project budgets. Develops deep understanding cost model and cost drivers for service(s) and develops and implements service area budgets and cost optimization initiatives. Responsible for timely renewal of maintenance and subscription contracts.

• Monitors and ensures adherence to GIS project management, software application development, testing, service management, change management, RCA and other relevant processes, standards, governance and controls. May manage execution of sox contols and testing, and support internal and external audits.

• Plan and manage large scale, complex Business Intelligence, Big Data or AI/ML aplication or platform projects to ensure effective and efficient execution in line with guardrails of scope, timeline, budget and quality

• Oversees contingent workers performing Business Intelligence, Big Data and AI/ML services across multiple projects or service areas. Ensures selection, onboarding and offboarding of contingent workers is performed in a timely manner. Ensures contingent workforce utilization is optimized. Works with management and strategic providers to identify gaps and opportunities and to recommend improvement plans. May approve contingent worker timesheets/costs.

Functional Knowledge

• Regarded as the technical expert in their particular field
  Demonstrates in-depth and/or breadth of expertise in own discipline and broad knowledge of other disciplines within the function

Business Expertise

• Anticipates business and regulatory issues; recommends product, process or service improvements

Leadership

• Leads projects with notable risk and complexity; develops the strategy for project execution

Problem Solving

• Solves unique and complex problems with broad impact on the business; requires conceptual and innovative thinking to develop solutions

Impact

• Impacts the direction and resource allocation for program, project or services; works within general functional policies and industry guidelines

Interpersonal Skills

• Communicates complex ideas, anticipates potential objections and persuades others, often at senior levels, to adopt a different point of view

What We Offer

We are seeking a motivated and detail-oriented Data Analytics and Reporting Program Manager to join our team. Will assist in collecting, analyzing, and visualizing data to support business decisions and improve operational efficiency.

Key Responsibilities

Helps to prepare project plan and coordinates project activities from planning to implementation. Maintain matrix for process improvements.

Coordinates project schedule and task details and helps to prepare reports, tracking charts, checklist and project scheduling.

On occasion will interface with external suppliers and monitor and report on the projects progress against quality and cost metrics.

Functional Knowledge

• Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities

Business Expertise

• Understands key business drivers; uses this understanding to accomplish own work

Leadership

• No supervisory responsibilities but provides informal guidance to new team members

Problem Solving

• Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents

Impact

• Impacts quality of own work and the work of others on the team; works within guidelines and policies

Interpersonal Skills

• Explains complex information to others in straightforward situations