Data Scientist - Sandton Verfied

R 800000 per annum Sandton, Gauteng Sandton, Gauteng more than 14 days ago 25-10-2016 5:39:17 AM
22-11-2016 5:39:17 AM
A Leading company in the Telecoms industry is looking for a Data Scientist responsible to advocate, evangelize and build data-fuelled products that help our business improve customer growth and retention. You’ll dig in and become an expert on the Group Companies datasets. You will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.

You will work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. You will lead applied analytics initiatives that are leveraged across the breadth of our solutions for all Group companies. You will research, design, implement and validate cutting-edge algorithms to analyse diverse sources of data to achieve targeted outcomes.

You will play a central role in the formulation and realization of our Big Data Strategy. Insight and participation in the (Apache/Continuum) ecosystem is required, as well as hands-on experience with some of the important components. Together with the data engineer, you will utilize, maintain and upgrade the current Big Data Platform (see below).

As our data scientist, you will provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization.

Key Responsibility Areas

Core Functions:

• Understand each company’s data sets
• Maintain and upgrade big data platform.
• Transparently report on the quality of data in the data lake.
• Identify and understand the business problem and the impact of the proposed solution on operations of the organization.
• Architect/model big data structures for analytical applications.
• Formulate, build, apply and maintain predictive models.
• Drive multiple applications using Agile methodologies.
• Version control and document work for reproducibility.
• Spread an understanding of data science throughout the group and encourage innovation.

Skills/Requirements

• Business planning & execution
• Demonstrates initiative with a results orientation
• Detailed, orientated and able to handle multiple tasks at one time
• Excellent written and verbal communications
• Good business acumen
• Good interpersonal skills
• Good organization skills
• High level Technical understanding
• Incumbent must have a good command of the English Language
• Incumbent must have a valid driver’s license
• Keen project management skills with an ability to interact with and motivate others to succeed on several fronts simultaneously
• Presentation skills
• Prioritizes workload and meets deadlines for a variety of marketing "deliverables"
• Problem solving skills
• Professional
• Results orientated
• Self-motivated and able to work as a member of a team
• Service orientated
• Strong analytical, technical and mathematical abilities
• Strong knowledge of business models
• Business process modeling


Education & Qualification

• Ph.D. or Master’s Degree in operations research, applied statistics, applied mathematics, physics, data mining, machine learning or a related quantitative discipline
• Expert in analyzing large, complex, multi-dimensional datasets with a variety of tools.
• Fluent with both relational algebra and MapReduce logic.
• Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
• Accomplished in the use of statistical analysis environments such as R, scikit-learn, MLlib, MATLAB, SPSS or SAS
• Sound knowledge of business principles
• Familiar with tools that encourage reproducibility and collaboration; Jupyter, Zeppelin, RStudio, git
• Experience with enterprise BI; QlikView, Lumira, Tableau, Zoomdata, Cognos, SAP BW, SSRS, …
• Experience with enterprise ETL; SSIS, SAP DS, IBM DataStage, Pentaho, …
• Development experience in order of preference: Python, C/C++, Java
• Advanced Linux user.
• Microsoft Office; Word/Excel/Powerpoint/Outlook as well as modern collaboration tools (JIRA, splunk, Yammer, Confluence …)
• 5+ Years Business Analysis Experience

Must have experience with either Python + Scikit-learn or Spark or R.

Disclaimer: Please note that only short listed candidates will be contacted. Therefore, if you have not received any correspondence within two weeks of your application, you have been unsuccessful.

Recruiter: 54 Recruitment