Senior Advisor, Data Science

As a Data Science - Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

• Partner with internal and external teams to understand customer requirements and develop proposals

• Conduct interactions with external customers to gather project requirements, provide status updates and share analytical insights * Implement preliminary data exploration and data preparation steps for model development/validation

• Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights.

• Solution, build, deploy and setup monitoring for models.

Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table.

• 8+ years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI.

• Working experience in data visualization (e.g., Power BI, matplotlib, plotly).

• Hands-on experience with CNN, LSTM, YOLO, and 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 large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks.

Desirable Requirements

• Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ). Experience with cloud platforms (e.g., AWS, Azure, GCP)

• Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django), programming languages like Java or JavaScript.

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.