

As a Data Science Consultant, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also collaborate with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
You will:
Provide technical and strategic guidance to the team and executive stakeholders on complex AI/ML initiatives
Design, develop, and deploy scalable Large Language Model (LLM) and Generative AI systems in real-world, production-grade environments
Build robust, end-to-end AI pipelines, including data collection, preprocessing, model training, evaluation, deployment, and post-deployment monitoring
Apply traditional machine learning approaches to solve predictive modeling and classification problems across both structured and unstructured datasets
Collaborate closely with data engineers, MLOps specialists, and product managers to align AI solutions with business goals and continuously improve model performance, reliability, and user trust through experimentation, testing, and feedback-driven iteration
Essential Requirements
Proven experience communicating complex technical concepts to both technical and non-technical stakeholders, and influencing product direction.
Strong programming skills in Python , with hands-on experience using ML/AI frameworks such as PyTorch , TensorFlow , or similar.
Self-driven and proactive, with the ability to own and lead end-to-end projects independently.
Demonstrated ability to clearly explain statistical and algorithmic techniques at varying levels of technical depth.
Experience building and deploying large-scale, production-ready machine learning systems and developing agentic AI solutions, such as tool-using agents, autonomous task workflows, or reasoning-based systems.
Desirable Requirements
Bachelor’s degree with 8+ years of industry experience, or Master’s degree with 6+ years of experience in a data science or machine learning role or equivalent experience
Familiarity with building GenAI applications that enhance developer productivity , code generation, or documentation assistance, designing and optimizing prompts and templates for LLM-based applications, LLM frameworks such as LangChain , LlamaIndex , or similar open-source tools, prompt engineering, retrieval-augmented generation (RAG), or autonomous agents powered by LLMs.
משרות נוספות שיכולות לעניין אותך

As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
•Collaborate with internal and external teams to understand customer requirements
•Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights
•Develop and drive testing of algorithms efficacy for differing analytical use-cases
•Performs end-to-end steps involved in model development while establishing subject-matter expertise
•Work with the academic and business community to develop new techniques and to contribute to research in the area of large databases• 8 to 12 years of related experience
• Solid machine learning and statistical skills
• Solid Programming skills in Python (or any other language)
• Good understanding of business environment and industry trends
• Good communication and problem-solving skills and being customer focused
• Domian knowledge and understanding of Pricing industry
• Knowledge of industry LLMs, Agentic AI would be a plus
• Skilled at data storytelling—turning analytical findings into business insights and presenting them effectively to diverse audiences
משרות נוספות שיכולות לעניין אותך

Consumer Integrated Planning – NA Retail Planning, Sr. Consultant
This role requires a strategic operator with a strong command of cross-functional business planning, deep understanding of the regional consumer dynamics, and the ability to influence stakeholders to deliver synchronized, insight-driven, action-oriented plans.
You will:
Essential Requirements
משרות נוספות שיכולות לעניין אותך

•Contribute to the design and architecture of new or re-engineered software/storage environments
•Prepare written software/storage specifications for sophisticated products from architectural diagrams and documents
•Build and review design, functional, technical and/or user documentation, as needed
•Develop, review and implement test strategies for software products and systems•Validated knowledge of programming languages; operating systems; firmware; BIOS; device drivers; databases; system, network, operating system, and application administration; embedded software/firmware; tools and utilities
•Ability to code/debug more sophisticated programs using either written or verbal design specifications
•Capacity to achieve proficiency of new tools, languages and operating systems with training and on-the-job experience
•5–8 years of related experience
•Bachelor’s degree
משרות נוספות שיכולות לעניין אותך

Consumer Integrated Planning – NA Retail Cycle Planning, Consultant
This role requires a strategic operator with a strong command of cross-functional business planning, deep understanding of the regional consumer dynamics, and the ability to influence stakeholders to deliver synchronized, insight-driven, action-oriented plans.
You will:
Essential Requirements
•Bachelor’s degree
משרות נוספות שיכולות לעניין אותך

You will:
Lead the design and optimization of logging and monitoring solutions to enhance threat detection and cybersecurity visibility.
Utilize technologies like Splunk, Elastic, Cribl, and NDR platforms to build a scalable observability ecosystem.
Deliver actionable insights that accelerate incident response and improve organizational resilience.
Influence strategic cybersecurity direction and drive innovation across Dell’s global infrastructure.
Make a measurable impact by aligning technical solutions with business objectives.
15+ years of experience in cybersecurity engineering with a focus on logging, monitoring, and infrastructure.
Strong hands-on experience with Elastic Stack (Elasticsearch, Logstash, Kibana), Cribl, and Splunk Enterprise/Splunk Cloud.
Proficiency in Kubernetes, Docker, and CI/CD pipeline integration, supporting scalable and automated deployments.
Scripting skills in Python, Bash, or PowerShell for automation and tool integration.
Desirable Requirements
Expert knowledge in logging technologies, SPLUNK, Elastic Search, Microsoft Sentinel, Palo Alto Strata
Expert knowledge in pipeline technologies, CRIBL, Vector
Bachelor’s or Master’s degree in Cybersecurity, Computer Science, or related field, or equivalent experience.
משרות נוספות שיכולות לעניין אותך

Front-End Electrical Engineering Consultant
With a global remit, ourFront-End Electrical Engineering Consultant
Front-End Electrical Engineering Consultanton our
What you’ll achieve
As a, you will drive the development and implementation of new and exciting products and services. Working closely with sales, customer service, partners, customers and other technical support groups in cross-functional teams, you will manage the entire lifecycle of highly complex, high-risk projects. From design to delivery.
•Interface with IT, design business requirements and facilitate business adoption of new infrastructure
•Understand impact of emerging business trends and their implications for Dell Technologies and its customers
•Develop common-sense solutions to complex business problems through in-depth investigation, coordination and collaboration with key decision makers
•Build effective, high-performance core product design teams and provide ongoing feedback to functional management
Essential Requirements
12+ years of related experience in a professional role with a Bachelor’s degree in Engineering (EE/IE/CS); or 8+ years with a Master’s degree; or equivalent experience
5+ years of experience in Product Design/Engineering
Demonstrated program management skills
Effective influencing skills to guide X-functional teams in the appropriate direction
Desirable Requirements
5+ years of experience in Procurement and/or Engineering and existing knowledge of overall design cycle, landscape, and driving cross functional alignment
Knowledge of existing electrical and/or mechanical technologies and processes and fundamental understanding of Design for Cost/Value and familiarity with x86 technologies
משרות נוספות שיכולות לעניין אותך

As a Data Science Consultant, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also collaborate with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
You will:
Provide technical and strategic guidance to the team and executive stakeholders on complex AI/ML initiatives
Design, develop, and deploy scalable Large Language Model (LLM) and Generative AI systems in real-world, production-grade environments
Build robust, end-to-end AI pipelines, including data collection, preprocessing, model training, evaluation, deployment, and post-deployment monitoring
Apply traditional machine learning approaches to solve predictive modeling and classification problems across both structured and unstructured datasets
Collaborate closely with data engineers, MLOps specialists, and product managers to align AI solutions with business goals and continuously improve model performance, reliability, and user trust through experimentation, testing, and feedback-driven iteration
Essential Requirements
Proven experience communicating complex technical concepts to both technical and non-technical stakeholders, and influencing product direction.
Strong programming skills in Python , with hands-on experience using ML/AI frameworks such as PyTorch , TensorFlow , or similar.
Self-driven and proactive, with the ability to own and lead end-to-end projects independently.
Demonstrated ability to clearly explain statistical and algorithmic techniques at varying levels of technical depth.
Experience building and deploying large-scale, production-ready machine learning systems and developing agentic AI solutions, such as tool-using agents, autonomous task workflows, or reasoning-based systems.
Desirable Requirements
Bachelor’s degree with 8+ years of industry experience, or Master’s degree with 6+ years of experience in a data science or machine learning role or equivalent experience
Familiarity with building GenAI applications that enhance developer productivity , code generation, or documentation assistance, designing and optimizing prompts and templates for LLM-based applications, LLM frameworks such as LangChain , LlamaIndex , or similar open-source tools, prompt engineering, retrieval-augmented generation (RAG), or autonomous agents powered by LLMs.
משרות נוספות שיכולות לעניין אותך