Consultant, Data Science

Salary Not Available Position range in Williamson County $60k - $126k Per Year Consultant, Data Science (Confidential)

Occupation:

Data Scientists

Location:

ROUND ROCK, TX - 78682

Positions available: 1 Job #: 17006045

Source:

WorkInTexas

Posted:

04/23/2026

Updated:

04/26/2026

Expires:

05/26/2026

Web Site:

WorkInTexas Onsite /

Remote:

Not Specified

Job Type:

Regular, Full Time (30 Hours or More), Permanent Employment, Day Shift

Agency Job ID:

1536656 Job Requirements and Properties Help for Job Requirements and Properties. Work Onsite Full Time Education Master's Degree Experience 60 Month(s) Schedule Full Time Job Type Regular Duration Permanent Employment Hours 40 Hours Per Week Shift Day Shift Public Transit Available Help for . Dell USA L.P. is seeking a Consultant, Data Science for it's Round Rock, TX facility.

Duties:

Architect and lead the development of enterprise-scale AI/ML & GenAI solutions (LLM-based systems, recommendation engines) for Dell's business and customers. Design and build scalable, efficient and automated processes for large-scale data analysis, machine-learning/GenAI model development, model validation and servings. Retrieve, analyze, and process complex datasets. Build proof-of-concepts and identify opportunities to address new business problems. Conduct and oversee experimentation to improve AI/ML model performance - (A/B tests, prompt engineering, alignment methods, hyperparameter tuning). Lead brainstorming on GenAI/ML use cases; mentor Data Scientists in

LLM & AI

best practices; establish technical standards. Liaise and collaborate with leading academics, industry experts, and highly skilled engineers to bring GenAI advances into Dells systems - Agentic AI, Knowledge Graphs etc. Drive innovation with advanced model development and large-scale optimizations, including - embeddings, LLM fine-tuning, search, RAG, LLM as a judge. Communicate complex AI/ML & GenAI architectures, risks, and outcomes to executives and cross-functional teams. Define business problems, outcomes, guardrails, KPIs with stakeholders. Set AI/ML product vision & roadmap. Plan and prioritize projects, maintaining a clear engineering backlog. Coordinate cross-functional delivery scope, timelines, staffing, risks, dependencies. Oversee and review technical designs and decision logic across the team; define and uphold the north-star solution flow to ensure consistent, scalable delivery. Develop talent & standards - mentor, interview, set quality bars. Champion an experimentation and data-driven culture across teams. Facilitate an innovation pipeline for the team. Represent Dell externally, Contribute to IP & institutional knowledge patents, playbooks, talks, articles. Track adoption and business value of shipped AI/ML solutions; surface insights & recommend next bets. Evaluate GenAI vendors and open-source options; make build-vs-buy recommendations.

Requirements:

Master degree in Industrial Engineering, Mechanical Engineering, Computer Science, MIS or a related field and 5 years of experience in data science, business analytics, or a related occupation Alternatively, Bachelor degree in Industrial Engineering, Mechanical Engineering, Computer Science, MIS or a related field and 7 years of experience in data science, business analytics, or a related occupation.

Requires experience with:

LLM Architectures, Prompt Engineering, RAG implementation, LLM Fine-tuning (LoRA, or QLoRA), or LLM Evaluations;Applying Core AI/ML including Deep Learning, Recommendation Engines, Embeddings, MLOps/GenAIOps, Model Validation, A/B Testing, Hyperparameter Tuning, Traditional Machine Learning (XGboost, Classification, Regression, Clustering, Forecasting and Support Vectors), Statistics, Optimization, Model Explainability and Interpretability (LIME or SHAP);Programming with Python (PyTorch or TensorFlow, and Hugging Face), Advanced SQL, and Git proficiency;Designing and developing enterprise-scale AI/ML & GenAI solutions, including MLOps pipelines;Using one major cloud AI/ML platform (AWS, Azure, or GCP), Distributed Systems, or Big Data Technologies (e.g., Spark).; and Applying model deployment (Docker, Kubernetes, Airflow, and MLFlow), Feature Store, Data and Model Drift Monitoring, and Performance optimization (multi-threading, vectorization and quantization).

Employer:

Dell USA L.P.

Location:

Round Rock, TX How to apply: Email resume to jobs_dell@dell.

com and include requisition number:

1536656