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Advisor, Data Science

Singapore, Singapore 11/20/2019
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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 Data Engineer on our Client Solutions Center of Competency team in Singapore.

Before we can drive human progress with our game-changing products we must first attract human attention. The Data Engineer will develop statistical analysis and predictive modeling to enable data-driven Go-To-Market strategy, enhance the capabilities of delivering predictive analysis and real-time actionable insights together with proactive alerts.

Key Responsibilities

oCollaborate with Marketing, Finance, Business Operations and other key stakeholders to integrate Client Solutions related products and solutions data to deliver actionable insights

oLeverage external partnerships to keep up-to-date technology trends and integrate relevant external data source into the predictive models

oCreates visualize and effectively communicates/presents on the data findings and insights

oServe as project lead to work with interns to solve project based problem

oIdentify valuable data sources and automate collection processes, undertake preprocessing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns

oBuild predictive models and machine-learning algorithms and combine models through ensemble modeling. Present information using data visualization techniques. Propose solutions and strategies to business challenges

oImplement new statistical or other mathematical methodologies as needed for specific models or analysis. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

oAssess the effectiveness and accuracy of new data sources and data gathering techniques.

oDevelop custom data models and algorithms to apply to data sets. Develop processes and tools to monitor and analyze model performance and data accuracy.

Essential Requirements

oRequires 3+ years of related experience in a professional role with a Bachelor’s degree; or 2+ years with a Master’s degree; or 1+ years with a PhD; or equivalent experience

oDemonstrated ability to deliver enterprise grade AI/Machine learning solutions for large scale environments

oMust have exceptional communication skills as you would have to clearly articulate advanced concepts to a wide range of audiences 

oPassion to keep current on emerging technologies in the big data, data science, artificial intelligence and machine learning space

oExperience with Python, R, MySQL programming experience, familiarity with Spark, Scala, Java or C++ is an asset

oAbility to prioritize and manage work load on critical projects 

oExperience in data mining and understanding of machine-learning and operations research

oKnowledge of R, SQL and Python; familiarity with AWS, Spark, Scala, Java or C++ is an asset

oExperience using business intelligence tools (e.g. Power BI, Tableau) and data frameworks (e.g. Hadoop)

oStrong math skills (e.g. statistics, algebra) and Problem-solving aptitude

oExcellent communication and presentation skills

oExperience working with and creating data architectures.

Job Family: Business-Support Job ID: R039937
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