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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
These jobs might be a good fit

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Showcasing excellence and innovation at every stage, Product Management is responsible for the cross-functional management of products or solutions through their entire lifecycle. Using a wealth of technical and industry experience, we work across functional areas to implement our products or solutions. We undertake thorough analysis of the markets to ensure we maximize profitability and adjust our product strategies to respond to competition. Our role also involves acting as subject matter experts for internal and external product events or partner meetings.
Join us as aninto do the best work of your career and make a profound social impact.
What you’ll achieve
As a Product Management Intern, you will identify new growth areas, technologies, and emerging product/service opportunities. You will conduct in-depth market analysis to optimize existing products/solutions and build next generation products, partnering closely with the Engineering and Product Management teams to build a product roadmap and align product strategies for the business.
During the summer you will:
Essential Requirements
Desirable Requirements

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Our Electrical Engineering team puts the spark into the full hardware development lifecycle, from concept to production. It takes experts in system architecture definition, design, analysis, prototyping, sourcing & the debugging and validation of layouts or routes to deliver state-of-the-art products for a changing world. We work closely with designers, cross-functional teams within Dell Technologies and suppliers to make sure electronic designs meet a range of requirements, including schedule, feature set, functionality and quality, as well as industry standards.
You will:
Essential Requirements
Desirable Requirements

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As the
You will:
Desirable Requirements

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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

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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
Desirable Requirements

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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

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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
These jobs might be a good fit