Senior Advisor, Data Science
At a glance
Senior Data Science role at Iawmqy. Round Rock · full-time · no salary stated · we estimate $150,000–$205,000 across the United States.
Iawmqy has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Work with internal and outside teams to understand customer needs and shape project proposals
- Meet external customers to collect project details, share progress and explain analytical findings
- Prepare and explore data before using it to develop and validate models
- Use statistical, machine-learning and business-intelligence methods to turn complex data into practical recommendations
- Build and deploy models, then set up ongoing monitoring
What you bring
- At least eight years of related experience, with proficiency in NLP, machine learning, computer vision and GenAI
- Practical skill with data visualization and hands-on work with CNN, LSTM and YOLO
- Database experience that includes SQL, Postgres SQL, PGVector and ChromaDB
- MLOps and LLMOps experience, including a strong grasp of managing the machine-learning lifecycle
- Deep familiarity with LLMs, prompt design, fine-tuning and application integration for NLP tasks
Who this fits
This senior role suits someone who can combine applied data science with customer-facing requirements gathering and recommendations. It is based onsite in Round Rock, Texas.
From the employer
Senior Advisor - Data Science
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.
Join us to do the best work of your career and make a profound social impact as a Senior Advisor on our Data Science Team in Round Rock, Texas.
What you’ll achieve
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.
Here’s what we are looking for with this role:
Essential Requirements
• 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.
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