Join us as a Data Scientist on our Dell Technologies Services team in Round Rock, TX or Hopkinton, MA (or remote) to do the best work of your career and make a profound social impact.

Dell Technologies Services (DT Services) is an organization within Dell. DT Services provides support and extended warranty services, managed deployment, enterprise installation, and configuration services for both Enterprise and Client customers. It is one of the most strategic and profitable organizations in the company, and it is currently experiencing explosive global growth. DT Services is made up of marketing, sales operations, finance, engineering, and global operations teams that include customer service, supply chain, and professional services.

++Why Data Science at Dell?++

• Be a part of a large passionate data science community that’s always sharing new learnings, best practices, and a helping hand.
• Dell values creativity and innovation. Dell encourages, supports, and rewards new ideas through an established patent application process.
• Flexibility in where you work. Dell is committed to supporting on-site, remote, and hybrid working arrangements.

++What You’ll Do++

• Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights from our data
• Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
• Conduct analyses that include data gathering, data processing, data modeling, ongoing deliverables, and presentations
• Work with large, complex, and structured/unstructured data sets
• Build and prototype analysis pipelines iteratively to provide insights at scale
• Collaborate with Data Engineering and Machine Learning Engineers to deliver end-to-end production applications
• Develop a comprehensive knowledge of Dell data structures and metrics, advocating for changes where needed for product development
• Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through the visual displays of quantitative information

++Who You Are++

• Excellent written and verbal communication skills 
• Strong statistical analysis and problem-solving skills 
• Proficient knowledge of programming languages and data structures
• Experience with database ETL and data visualization
• Strives for professional development with the ability to work in a team environment
• Creative, with a willingness to present data that may challenge the status quo
• Keen technical aptitude balanced with an ability to communicate with business stakeholders

++What You’ll Need++

• Bachelor’s (BA or BS) candidate in Computer Science, Data Science, Natural Sciences, Engineering, or related field
• Graduating in the time frame of December 2021 – June 2022
• Excellent written and verbal communication skills 
• Experience with machine learning methods such as forecasting, association rules, classification, clustering, and/or regression analysis
• Expertise in programming languages such as python or R, and database languages such as SQL
• Must be comfortable working with global teams spread across multiple regions

++Why Data Science at Dell?++

• Be a part of a large passionate data science community that’s always sharing new learnings, best practices, and a helping hand.
• Dell values creativity and innovation. Dell encourages, supports, and rewards new ideas through an established patent application process.
• Flexibility in where you work. Dell is committed to supporting on-site, remote, and hybrid working arrangements.

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.