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 as a Analyst, Growth Marketing Data Science on our Growth Marketing team in Round Rock, Texas and all remote locations in the U.S. to do the best work of your career and make a profound social impact.

What you’ll achieve

As a Analyst, Growth Marketing Data Science, you will be part of our Global Growth Marketing organization which is spearheading Dell’s Digital Transformation by driving innovation in the way we deliver advanced Artificial Intelligence and Machine Learning technology that can help us better serve the needs of our customer, optimize our customer experience, marketing touchpoints and optimize our business outcomes. This position will merge data science, data engineering and modern software practices to help teams transform data into algorithmic models that can generate insights and actions at scale.  The candidate will use technical knowledge and industry expertise to formulate product strategies and identify how to accelerate our embedded Data Scientists to deliver better models that can integrate seamlessly with our global processes.

This position will merge data science, data engineering and modern software practices to help teams transform data into algorithmic models that can generate insights and actions at scale.  The candidate will use technical knowledge and industry expertise to formulate product strategies and identify how to accelerate our embedded Data Scientists to deliver better models that can integrate seamlessly with our global processes.

This role will contribute to deliver a world class Growth Marketing Engine that will enable our Sales and Marketing teams to work at full velocity to meet our customer’s needs.

You will:

• Lead the implementation of the modern artificial intelligence and data science techniques and tools, to support data science teams to build and deliver artificial intelligence and machine learning solutions.
• Define and build the data and feature sets that can be applied and re-used by our multiple Marketing data science teams.
• Work with internal stakeholders and users to validate business and user needs, translating them into user-centric product roadmaps that address the top Data Science opportunities.
• Utilize a range of applicable technologies (e.g., programming languages, compilers, assemblers, debuggers, other tools) to deliver Data and Artificial Intelligence at scale.
• Participate in all development stages from planning and design to development, testing, deployment and documentation.

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

• Engineering Degree in Computer Science/Engineering, or equivalent professional experience.
• Demonstrated experience writing, documenting and maintaining high quality code with object-oriented programming languages such as C# or Java
• Experience with Extract, Transform, Load operations for Batch and Streaming Data operations across Structured and Unstructured Data.
• Experience with big data technology (Hadoop, Apache Spark, etc.) and data migration from relational database to big data technologies
• Proficiency in data modelling, data optimization for both relational and non-relational databases (Oracle, MySQL, SqlServer, Mongo, Cassandra, Couchbase, Hadoop, Redis )
• 0 to 1 years of related experience in a professional role with a Bachelor’s degree; or 0 years with a Master’s degree.

Desirable Requirements

• Experience running and optimizing Data Science and Machine Learning Data Pipeline workloads.
• Experience with cloud-native computing, cloud platforms, microservices architecture, modern DevOps, Test Driven Development and Continuous Integration / Continuous Deployment.