Advisor, Data Science

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.

What you’ll achieve:

As an Advisor, you will lead initiatives in advanced analytics, machine learning, and data-driven decision-making. You will design scalable models, optimize algorithms, and collaborate across teams to deliver actionable insights. You will champion innovation and ensure data science solutions align with business objectives.

Join us to do the best work of your career and make a profound social impact as an Advisor on our Data Science team.

• Develop and deploy predictive models and machine learning algorithms.
• Collaborate with stakeholders to translate business needs into data science solutions.
• Ensure data integrity, governance, and compliance across projects.
• Drive continuous improvement through experimentation and innovation

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

• 5-9 years of related experience in a professional role or equivalent experience
• Expertise in statistical modeling, machine learning, and data visualization.
• Proficiency in Python/R and experience with big data platforms.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Desirable Requirements

• Bachelor’s degree in Data Science, Computer Science, or related field; advanced degree a plus.
• Certifications in AI/ML or cloud data platforms.