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
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
5+ 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
Machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets)
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
Ability to lead a team of data scientists is a plus
Master’s or PhD in a quantitative discipline (desirable)
Ability to act as a coach to the team and strong product/technology/industry knowledge (desirable)
Benefits
Dell is committed to fair and equitable compensation practices.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLMachine LearningDeep LearningNatural Language ProcessingClassificationForecastingRegressionGenerative AIML model deployment