Senior Advisor, Data Science

Dell Technologies • Round Rock, TX

4d

About The Position

The Senior Advisor on the Data Science team contributes to business strategy and influences decision-making through deep-dive data analysis. The role interprets complex datasets to produce actionable recommendations, designs processes to consolidate and examine unstructured data, and partners with business leaders, engineers, and industry experts to build predictive models, algorithms, and probability engines. The position is based in Round Rock, Texas.

The Senior Advisor works with internal and external teams to understand customer requirements and develop proposals, gathers project requirements from external customers, provides project updates, and shares analytical insights. The role also performs preliminary data exploration and preparation for model development and validation; applies statistics, machine learning, and business intelligence techniques; and solutions, builds, deploys, and monitors models.

Requirements

• 8+ years of related experience.
• Proficiency in NLP, machine learning, computer vision, and GenAI.
• Working experience in data visualization, such as Power BI, matplotlib, or plotly.
• Hands-on experience with CNN, LSTM, and YOLO.
• Database skills including SQL, Postgres SQL, PGVector, and ChromaDB.
• Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management.
• Expertise with LLMs, prompt engineering, fine-tuning, and integrating LLMs into applications for NLP tasks.

Nice To Haves

• Strong product, technology, or industry knowledge.
• Familiarity with streaming and messaging frameworks such as Kafka, RabbitMQ, or ZeroMQ.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with web technologies and frameworks such as HTTP/REST/GraphQL, Flask, or Django.
• Experience with programming languages such as Java or JavaScript.

Responsibilities

• Partner with internal and external teams to understand customer requirements and develop proposals.
• Interact with external customers to gather project requirements, provide status updates, and share analytical insights.
• Implement preliminary data exploration and data preparation for model development and validation.
• Apply statistical, machine-learning, and business-intelligence techniques to deliver actionable business insights.
• Solution, build, deploy, and set up monitoring for models.
• Contribute to business strategy and influence decision-making through deep-dive data analysis.
• Design processes to consolidate and examine unstructured data.
• Partner with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed