Sr Manager, Data Science

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 Manager, Data Science on our growing and dynamic Data Science team in Austin, Texas.

What You'll Achieve

As a Senior Manager, Data Science, you will oversee the charge in building innovative solutions from the ground up, transforming obstacles into opportunities using data science. You will mentor and manage a team of data scientists to deliver scalable AI/ML solutions that impact thousands of users across various domains. Working in a dynamic and collaborative environment, you will foster a culture of innovation, excellence, and results inspired work.

You will:

• Advance a team of data scientists in the development and deployment of AI/ML services that address key business and customer requirements
• Collaborate cross-functionally with software engineers, business stakeholders, and product owners within an Agile framework to integrate AI-focused solutions into software products
• Own the full lifecycle of model development from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with business needs
• Drive continuous improvement of models and solutions, empowering your team to make key decisions on algorithm trade-offs and design. Manage project roadmaps, task assignments, and stakeholder coordination to optimize team performance and project delivery
• Encourage exploration and implementation of advanced techniques such as Retrieval-Augmented Generation (RAG) and other large language models (LLMs) to enhance innovation

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:

• PhD or Master's degree in Engineering, Technology, Computer Science, Machine Learning, Robotics, Operations Research, Statistics, Mathematics, or equivalent quantitative field
• At least 10 years of applied research experience; additional 5 years specifically in building machine learning models or developing algorithms for business applications
• Minimum of 2 years in a management role overseeing data scientists or machine learning engineers
• Proven ability to guide the team through technical obstacles, making informed decisions regarding algorithmic trade-offs and design
• Strong communication skills, capable of presenting complex technical information clearly and concisely

Desirable Requirements:

• Past experience as a Tech Manager or Direct Manager, with a demonstrated ability to collaborate with team members and pursue innovative projects. Experience in managing end-to-end AI projects including identification of customer needs, problem formulation, solution development, and deployment
• Familiarity with state-of-the-art AI techniques, including Retrieval-Augmented Generation and large language models, reflecting current trends and advancements in the field

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.