Data Science Engineer
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 Engineer in our Data Science team in Round Rock, Texas.
What you’ll achieve
As a Data Science Engineer, 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 :
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
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 to 11 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
Desirable Requirements
Master's or PhD in a quantitative discipline.
Ability to act as a coach to the team and strong product / technology / industry knowledge
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