Senior Advisor, Data Science

Dell Technologies • Round Rock, TX

3d

About The Position

The Senior Advisor, Data Science contributes to business strategy and influences decision-making through deep-dive data analysis. The role interprets complex data sets and develops actionable recommendations, designs processes for consolidating and examining unstructured data, and partners with business leaders, engineers, and industry experts to create predictive models, algorithms, and probability engines. The position is on the Data Science Team in Round Rock, Texas.

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

Requirements

• At least 8 years of related experience.
• Proficiency in natural language processing (NLP), machine learning, computer vision, and generative AI (GenAI).
• Working experience in data visualization tools such as Power BI, matplotlib, or plotly.
• Hands-on experience with CNN, LSTM, and YOLO.
• Database skills including SQL, PostgreSQL, PGVector, and ChromaDB.
• Proven experience in MLOps and LLMOps, with a strong understanding of machine-learning lifecycle management.
• Expertise with large language models (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 or 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.
• Perform preliminary data exploration and data preparation for model development and validation.
• Apply techniques and theories from statistics, machine learning, and business intelligence 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 analysis.
• Design processes to consolidate and examine unstructured data to generate actionable insights.
• 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