Contribute to business strategy and influence decision making based on information gained from deep dive analysis.
Produce actionable and compelling recommendations by interpreting insights from complex data sets.
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.
Solve business and customer issues utilizing AI/ML and build prototypes and scalable AI/ML solutions that will be integrated into software products.
Collaborate with software engineers, business stakeholders and product owners in an Agile environment.
Have complete ownership of model outcomes and drive continuous improvement.
Requirements
10+ years of experience in a related role or equivalent skill/education; must include deep knowledge of data science principles.
Strong coding skills in Python and SQL and machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets) with experience in ML model deployment
Ability to work with internal stakeholders to transfer business questions into quantitative problem statements
Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists is a plus
Master’s or PhD in a quantitative discipline.
Benefits
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits.
You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com
Dell is committed to fair and equitable compensation practices.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLmachine learningdeep learningnatural language processingclassificationforecastingregressionmodel deploymentdata science principles