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Data Scientist EHC394
Posted date [2017-Sep-12]  (ID: 2196)
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Data Scientist EHC394 - Johannesburg.
 
PURPOSE
 
To optimize the value out of data. 
To provide data that is congruent and reliable
To extract and/or collect information from various sources (Structured and Unstructured) 
To distribute and or communicate data/information
To analyse data for better understanding about how the business performs with the objective of quantitative identification of business opportunities
To innovate ways to look at problems by using data mining
To build AI tools that automate certain processes
 
As a data scientist, you are expected to be a subject matter expert for the business in the following areas:
 
Natural Language Processing: the interactions between computers and humans;
Machine learning: using computers to improve as well as develop algorithms;
Conceptual modelling: to be able to share and articulate modelling (UML, Enterprise Architecture, Simulation Modelling);
Predictive modelling: most of the big data problems are towards being able to predict value creating future outcomes;
UML and or Integrated System Behavioural Modelling for system data requirements for various business projects;
Hypothesis testing: being able to develop hypothesis and test them with careful experiments. (Statistical, Operations Research, System Dynamics and Theory of Constraints)
Business Systems Data integration
 
 
REQUIREMENTS:
 
 Degree in (Engineering/Actuarial Science’s/Statistics/Mathematics) is essential
Experience in programming languages and platforms, including .Net, C/C#, SQL, HTMS, CSS, Java, PHP, Python, code repositories
7-10 years’ extensive database experience with Microsoft SQL 2008 upwards
Basic understanding of platforms such as XML and Entity Framework, knowledge of N-Tier development will be an advantage
Experience in Enterprise Architecture (UML)
Experience in software development life cycle development methodologies (e.g. Agile)
Basic knowledge of system integration development, API development, web services creation and utilization
Working knowledge of public cloud platforms (Microsoft, IBM, Oracle, Amazon, Google)
Various languages
Data engineering/architectural experience
Must posies impressive data architectural skills with BI solution design and analytics experience
Seeking a technology agnostic person
Build enterprise solutions from the ground up
 
KEY RESPONSIBILITY AREAS:
 
Identification of cross selling opportunities 
Technology forecasting for identification of business opportunities using multiple sources of transactional data.
Development of data requirements for business systems and data requirements support 
Designing and Leading Development Operations in building managed data service integrating business systems.
Supervise or directly write, translate, and code data management and analytics programs, algorithms and applications according to specifications
Administer critical analysis of test results and deliver solutions to problem areas
Generate statistics and prepare and write reports for management and/or team members on the status of the data science processes
Write programming scripts to enhance functionality and/or appearance of company web site and/or related web applications as necessary from either a data integration perspective or business intelligence perspective
Conduct research on data science related technologies, languages, and standards in support of procurement, development efforts future investments
Liaise with network administrators, systems analysts, and software engineers to assist in resolving problems with products or company solutions
Converses with, writes strategic documents and creates/delivers presentations to internal business leaders and as well as external groups. Leads discussions with senior leaders and external partners in ways that support strategic planning and decision-making. 
Seeks a consensus with business leaders. Debates opinions, tests understanding and clarifies judgments. Identifies underlying differences and resolves conflict openly and empathetically. Explains the context of multiple, complex inter-related situations. perspectives and advice prior to approving plans and recommendations.
Studies environmental, business and technological trends and forecasts. 
Differentiates data sources for validity, reliability and credibility.
Evaluates composite information in relation to its impact on decision-making and strategic implication and steers team toward making informed, sound strategic decisions.
Own transport and a valid drivers’ license
 
 
BEHAVIOURAL COMPETENCIES 
High level of energy
Logical thinker
Excellent time management skills
Attention to detail
Self-confidence and self-driven 
A high level of perseverance
Be patient, tolerant and diplomatic 
Empathy, ability to identify with the needs of internal and external customers
 
TECHNICAL COMPETENCIES 
Flexible and adaptable in regards to learning and understanding new technologies
Knowledge of applicable data privacy practices and laws
Strong written and oral communication skills
Enterprise Architectural skills for software (UML)
Strong interpersonal skills
Strong systems modelling skills
Strong data modelling skills
Strong mathematical, statistical and operations research modelling skills
Ability to conduct research into data science-related issues and products and relevant technologies
Technically proficient
Proven analytical and problem-solving abilities
Ability to effectively prioritize and execute tasks in a high-pressure environment
Experience working both independently and in a team-oriented, collaborative environment
 
Preference will be given to BEE female
Job Title Data Scientist EHC394
Post Details
Nationality South African
Employment Equity Open to all Candidates
Town/City midrand
Location Gauteng
Country South Africa
Job Type Permanent
Industry Information Technology
Salary R900 000 per annum
Languages Spoken English
Job Ref No EHC394
Start Date asap
Closing Date 30 October 2017
Telephone 0114313542