דרושים מדען נתונים ב-Dell ב-United States, Round Rock

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

As an Undergraduate Data Science intern you will be responsible for analyzing data and driving growth through programming.

You will:

• Be a part of a large passionate data science community that’s always sharing new learnings, best practices, and a helping hand.

• Work on projects ranging from basic effective methods to cutting-edge experimental methods

• Work alongside peers throughout our 12 week program

Essential Requirements

• Enrolled in a Bachelor’s (BA or BS) program in Computer Science, Data Science, Natural Sciences, Engineering, or related field

• Excellent written and verbal communication skills

• Proficiency in programming languages such as python or R, and database languages such as SQL

• Experience with visualization libraries and tools such as matplotlib, d3.js, Tableau, or Power BI is a plus

• Must be comfortable working with global teams spread across multiple regions

Desirable Requirements

• Solid programming skills to retrieve, process, and analyze data

• Passion for data visualization and communicating data stories

You will:

always sharing new learnings, best practices, and a helping hand. Work on projects ranging from basic effective methods to cutting-edge experimental methods.

Essential Requirements

• Enrolled in a MS or PhD program in Computer Science, Data Science, Natural Sciences, Engineering, or related field
• Excellent written and verbal communication skills
• Proficiency in programming languages such as python or R, and database languages such as SQL
• Experience with visualization libraries and tools such as matplotlib, d3.js, Tableau, or Power BI
• Must be comfortable working with global teams spread across multiple regions

Desirable Requirements

• Creative, with an ability to identify solutions to complex problems

• Keen technicalaptitude balancedwith an ability to communicate with business stakeholders

What you’ll achieve

As ayou 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.

You will:

• Solve business and customer issues utilizing AI/ML

• Build prototypes and scalable AI/ML solutions that will be integrated into software products

• Collaborate with software engineers, business stakeholders and product owners in an Agile environment

• Have complete ownership of model outcomes and drive continuous improvement

Essential Requirements

• Proficient withwriting sophisticated, clean, andobject orientedPythoncode

• Strong background in math, statistics, andmachine Learning knowledge (deep learning, NLP,classification,forecasting,regression)with experience in ML model deployment

• Ability to work with internal stakeholders to transfer business questions intodata scienceproblem statements

• Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists

• 5+ years of experience as a data scientist

Desirable Requirements

• Master’s or PhD in a quantitative discipline.

• Professional experience with LLM/Agentic technologies

in our

What you’ll achieve

As ayou 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.

You will:

• LLM//Agentsandtraditional AI/ML

• Build prototypes and scalable AI/ML solutions that will be integrated into software products

• Collaborate with software engineers, business stakeholders and product owners in an Agile environment

• Have complete ownership of model outcomes and drive continuous improvement

Essential Requirements

• Proficient withwriting sophisticated, clean, andobject orientedPythoncode

• Strong coding skills in Python and SQL and machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets) with experience in ML model deployment in production

• Ability to work with internal stakeholders to transfer business questions into quantitative problem statements

• Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists is a plus

• 2+ years of professional experience as a Data Scientist

Desirable Requirements

• Master’s or PhD in a quantitative discipline

• Professional experience with LLM/Agentic technologies

Technical Staff - Data Center / Thermal Architect

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What you’ll achieve

As a Technical Staff, Data Center Thermal Architect, you will have the opportunity to collaborate on the architecture of next generation large scale AI Infrastructure including accelerated compute, AI fabrics and AI optimized storage. In addition to AI IT technologies, this role will leverage state-of-the-art rack and data center power solutions and innovative liquid cooling technologies. As part of an advanced technology pod, you will define long-term technology

You will:

• Be responsible for driving the architecture of end-to-end solutions from server to data center, including air and liquid cooled servers, integrated rack solutions, power distribution and heat rejection

• Innovate power-centric solutions for increasingly dense IT environments and engage with high profile AI customers to optimize solutions for their applications and tune the system for maximum performance

• Develop solution Overview and validate with Engineering and propose BOM/ SKUs to meet technical requirements and re‐view with Engineering & shape the offer accordingly

• Design Air, Liquid and other cooling solutions based on Datacenter and customer requirements and design Direct Liquid Cooling for different geographic areas

• Optimize cost, energy efficiency and performance from IT to the datacenter by driving hardware design and required infrastructure this includes addressing liquid cooling solutions and other platform engineering aspects that scale based on datacenter requirements, hardware topologies that are optimized for efficiency and performance for AI workloads

Essential Requirements

• Experience collaborating with customers on architectural and design requirements spanning IT Systems to Datacenter Thermal technologies including heat transfer and the ability to analyze component /system level problems and apply advanced cooling technologies

• Deep knowledge of thermal testing, flow and thermal measurement techniques, and the use of FEA, CAD & CFD tools to help optimize and guide thermal solutions along with the ability to optimize thermal solutions for operating environments, business needs, and product requirements is a core requirement

• Solid understanding and knowledge of and relationships with key suppliers of data center power and thermal management components

• Ability to collaborate with Dell’s technology partners and supply base on cutting edge technology development and work with ODMs on mechanical, thermal & electrical aspects of system design including experience interfacing effectively with suppliers to ensure they are both doing research and providing information on products or services that have value to the company, instigating and coordinating these efforts as necessary on a continual basis

• Understanding of the competitive and business needs while developing technical solutions including knowledge of manufacturing processes and the tolerance control requirements for high volume production environments, and author architecture specification to be a guiding light for development of future products.

Desirable Requirements

• 15 + years of related experience. Bachelor’s degree or equivalent experience in Mechanical Engineering with emphasis on thermal science, fluid dynamics or heat transfer. Years of experience offset with an advanced degree

• Ability to understand business needs while developing technical solutions; need to be able to travel 20%-30% to assess customer requirements and develop blueprints

Compensation: Dell is committed to Fair and Equitable compensation practices. The Base Salary Range for this role is $230,000.00 to $295,000.00