Advisor, Data Science (I7)

Dell • Round Rock, TX

11d

About The Position

Data Science Advisor 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 Data Science Advisor on our Data Science Team in Round Rock, Texas. What you’ll achieve As a Data Science 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:

Requirements

• 5 to 8 years of related experience in advanced analytics, data science, applied Machine Learning and ML frameworks (PyTorch, TensorFlow, CNN, LSTM, YOLO) and data processing libraries
• Strong proficiency in Python and SQL
• Strong statistical skills
• Solid experience with large language models and frameworks (Langr
• Good understanding of business environment and industry trends
• Good communication and problem-solving skills

Nice To Haves

• Master’s degree
• Optimization/Operations Research Knowledge

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees