Never pay for any CBT, test or assessment as part of any recruitment process. When in doubt, contact us
Founded in 1997, we are a privately owned internet service provider (ISP), providing broadband internet access and hosting solutions across South Africa to both home and business customers in equal measure.
With over 30 000 subscribers enjoying our world-class network experience, we have consistently been independently rated as one of the leading ISPs in Sou...
Description
At Webafrica, we rely on powerfully insightful data to power our systems and solutions.
We’re seeking an experienced data scientist to join our Finance team to deliver that insight to us daily. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find.
As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the goal of realizing the data’s full potential.
You would form part of our Finance team, but will “slice and dice” data using your own methods, creating new visions for the future.
Requirements
Skills and Qualifications
- Bachelor’s or equivalent degree (Certification) in statistics, applied mathematics, or related discipline
- 2 to 3 years’ experience in data science
- Proficiency with data mining, mathematics, and statistical analysis
- Advanced pattern recognition and predictive modelling experience
- Experience with Excel, PowerPoint, Power BI, SQL, and programming languages (i.e., Java/Python, SAS)
- Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
Preferred Qualifications
- Degree or Equivalent in stats, applied math, or related discipline
- Project management experience
- Professional certifications
Objectives of this Role
- Collaborate with all departments to develop an understanding of needs
- Research and devise innovative statistical models for data analysis
- Communicate findings to all stakeholders
- Enable smarter business processes—and implement analytics for meaningful insights
- Keep current with technical and industry developments
Daily and Monthly Responsibilities
- Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
- Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
- Identify relevant data sources and sets to mine for business needs, and collect large structured and unstructured datasets and variables
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
- Analyze data for trends and patterns, and Interpret data with a clear objective in mind
- Implement analytical models into production by collaborating with software developers.
- Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Gmail
Yahoomail