Senior Principal Applied Scientist
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
Join us to do the best work of your career and make a profound social impact as a Senior Principal Applied Scientist on our Data Science Team in Austin, Texas.
What you'll achieve
As a Senior Principal Applied Scientist, 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:
Develop and apply advanced techniques and theories to deliver actionable business insights based on large-scale data
Manage the development and testing of algorithms/functions to address core subject-matter requirement and customer engagement
Manage the design and testing of new analytical technologies and the development of new algorithms/functions
Author White Papers in collaboration with academic peers and others on innovative techniques or new approaches to Machine Learning / Predictive Modelling
Serve as subject-matter expert in presentations to customers and larger audience
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
Essential Requirements
12 to 15 years of related work experience with advanced deep learning and machine learning skills with strong statistical background
Advanced python or related programming languages
Experience in deploying machine learning models in production at scale, and managing model operations
Advanced understanding of business environment and industry trends
Strong communication and presentation skills required
Desirable Requirements
GenAI skills preferred
Strong Mentoring and Coaching skills
Compensation
Dell is committed to fair and equitable compensation practices. The salary range for this position is $186,150 - $240,900.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com
Who we are
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .
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Job ID:R242510
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At Dell Technologies, we believe our best work is done when flexibility is offered.
We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page.

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