Data Science Engineer
Dimension Data
Johannesburg, South Africa
6d ago

Data Science Engineer

Looking for the next step in your career? Enjoy a challenge? Do you have an ambition for innovation? Want to make a difference?

If you join our growing global team, you’ll be working for an industry leader with offices across five continents, in over 47 countries and more than 28 000 employees.

You will work with some of the leading world brands across the Fortune 100 and Fortune 500 companies who are all relying on Dimension Data to help them use the power of technology to achieve their ambition in this digital era.

You’ll be part of a team who’s passionate about making a difference to the way technology shapes how we live and work whether it’s protecting the rhino, connecting the G20 Summit, or revolutionising cycling, giving you the opportunity to do great things.

You’ll be joining a Global Top Employer, recognised for investing in talent because people are at the heart of our success.

You provide the skills, passion and ideas, and we’ll provide the platform to realise your ambitions.Great talent. Great teams.

Great work. Great opportunities.

Want to be part of our team?

The Data Science Engineer (DSE) will act as an Artificial Intelligence (AI) specialist with the focus on enabling Ignite to use data and predictive analysis to deliver a market leading service to our clients.

With Ignite having a focus on delivering purpose-build products and services to the SME market, the DSE will work with ten’s of thousands of client and service records to not only understand our ecommerce client buying behaviour, but build a unique understanding of the SME client journey as a whole to identify key opportunities to increase Sales and improve Client Experience.

What you'll be doing

  • Collaborate with a variety of business stakeholders to identify data insight requirements, design, prototype, visualise and interpret data analysis that is world class : informative, understandable in layman’s terms, innovative and creates actionable insights.
  • Develop and maintain processes for data collection and collation of data that are of multiple varieties, from multiple and diverse environments
  • Build and maintain a data warehouse, integrate into multiple data sources, deliver prototype analysis and insight, expose analysis via a visualisation technique / application and present analysis to business stakeholders.
  • Gain insight and participate in product and service development with a focus on data management and reporting requirements as an input to the development.
  • Act as expert for the Ignite Data Warehouse, Machine Learning and Data Visualisation practice.
  • Suggest areas for improvement in internal processes around data collection and maintenance
  • Manage the process of innovative change by on boarding and ensuring stakeholder buy-in around new data analysis, insights and resulting reports.
  • What would make you a good fit for this role?

  • 5+ years’ experience in software development, with a focus on data warehousing, API integration and data visualization
  • Strong knowledge of data processing techniques in languages such as SQL, Python or R
  • Experience with Hadoop / Spark will be advantageous
  • Experience in Machine Learning with ecommerce platform data will be advantageous
  • Show competency around design thinking, concept prototyping and agile delivery
  • A proven ability to do identify GAPs in the business that required automation, building the tool / system to address the need and successfully get buy-
  • in from business stakeholders.

  • Be able to work in a fast moving, dynamic environment.
  • Join our growing global team and accelerate your career with Dimension Data. Apply today.

    Diversity in Dimension Data

    Dimension Data is an equal opportunity employer with a global culture that embraces diversity. All qualified applicants will receive consideration for employment and will not be unfairly discriminated against on any arbitrary ground including race, colour, sex, religion, national origin, veteran status, disability, gender identity, sexual orientation, or other protected category.

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