Student Data Scientist

Dell provides the technology that transforms the way we all work and live. But we are more than a technology company — we are a people company. We inspire, challenge and respect every one of our over 100,000 employees. We also provide them with unparalleled growth and development opportunities. We can’t wait for you to discover this for yourself as a Senior Advisor Data Scientist on our Data Science team in Beer Sheva and Hertzlia sites.

Dell is committed to the development of data-driven and high business value machine learning and artificial intelligence use cases and solutions. We are looking for talented individuals to join our data science team, which is developing a fundamentally new approach to how business generates meaning from data.

Our team develops new methodologies, capabilities and tools to enable advanced modeling and statistical analysis of business data and very often, very large business data. Our Data science team works with prospects and internal customers to prove the analytical capabilities of Dell’s technology in generating business insights from big data.

A member of our Data Science team is charged with understanding and prioritizing our business and customers’ most urgent data driven problems and opportunities, and use advanced mathematical methods and models to provide answers.

Our Data Scientists develop new practices and methodologies for working with the Dell data warehouse technology, working closely with leading academics and industry experts – often as part of pilot projects. Team members also work with engineers to create new tools and features that support sophisticated machine learning and data science capabilities.

Key responsibilities

Perform end-to-end steps involved in solution development. Steps include preliminary data exploration and data preparation steps, variable/algorithm selection, model development/validation and scoring. Horizontal themes include: Marketing Analytics, Operations Research, Text Analytics, Graph Analytics, Hadoop, etc.
Jointly develop and drive the model development life-cycle, testing of algorithms' efficacy (i.e., by applying to test/sampled data and assessing accuracy/fit/predictive strength) for differing analytical use-cases
Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights to prospects and customers based on large-scale data


M.Sc or Ph.D. student in Computer Science, Math or related disciplines
Experience with the data science toolbox, e.g.
Programming and Scripting skills (C, C++, C#, Java, Python, Bash, etc)
Big Data technologies (Apache Spark, GreenPlum DB, Hadoop, Cassandra, MongoDB, etc) – advantage
Analytics platforms (R, SaS, Octave/Matlab, etc) – advantage
Visualization tools (MatplotLib, ggplot, Tableau, D3, Processing, etc) – advantage
Possesses strong product/technology/industry knowledge – advantage
Statistical analysis and mathematical skills – advantage
Strives for professional development

We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities — all to create a compelling and rewarding work environment.

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