Dell Technologies · 2 days ago

Senior Manager, Data Science

Austin, TX

Full-time

Onsite

Senior Level

10+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

Data ManagementInformation and Communications Technology (ICT)

Culture & Values

Insider Connection @Dell Technologies

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningAlgorithm DevelopmentTeam ManagementTechnical Decision MakingProblem-SolvingCommunicationTech ManagerDirect ManagerAI Projects ManagementCustomer Needs IdentificationProblem FormulationSolution DevelopmentDeploymentAI TechniquesRetrieval-Augmented GenerationLarge Language ModelsCollaborationInnovation

Required

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

Preferred

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