Data Scientist Practitioner

Description

• An individual within the Data Scientist role is responsible for modelling complex problems in the organisation, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques

Duties

• Work Complexity:
• Designs experiments, test hypotheses, and build models
• Conducts data analysis and moderately complex designs algorithm
• Business Requirements:
• Works with stakeholders to identify the business requirements and the expected outcome
• Works with and alongside business analysts by suggesting other products of interest to the client
• Models and frames business scenarios that are meaningful and which impact on critical business processes and/or decisions
• Data Requirements:
• Collaborates with subject matter experts to select the relevant sources of information
• Analysis:
• Works with colleagues to solve client analytics problems and documents results and methodologies
• Works in iterative processes within a team and validates findings
• Performs experimental design approaches to validate finding or test hypotheses
• Validates analysis by comparing appropriate samples
• Employs the appropriate algorithm to discover patterns
• Qualification and Assurance (Data Quality):
• Uses the expected qualification and assurance of the information to quantify the accuracy metrics of the analysis
• Access Management and Control:
• Qualifies where information can be stored or what information, external to the organisation, may be used in support of the use case
• Quantification:
• Assesses the volume of data supporting the initiative, the type of data (e.g., images, text, clickstream or metering data) and the speed or sudden variations in data collection
• Policies, Standards and Procedures:
• Collaborates with the data steward to ensure that the information used follows the compliance, access management, and control policies and that it meets the qualification and assurance requirements of the organisation
• Recommends ongoing improvements to methods and algorithms that lead to findings, including new information
• Communications / Presentations:
• Presents and depicts the rationale of their findings in easy to understand terms for the business
• Presents back results that contradict common belief, if needed
• Communicates and works with business subject matter experts
• Change Advocacy:
• May educate the organisation both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results
• Helps the organisation understand the principles and the math behind the process to drive organisational buy-in
• Metrics:
• Demonstrates the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness
• Performance:
• Provides on-going tracking and monitoring of performance of decision systems and statistical models
• System/Process Improvements:
• Recommend system and process enhancements as needed

Requisites

• Bachelor’s degree in mathematics, statistics or computer science or related field
• Typically requires 1-3 years’ experience manipulating large datasets and using databases
• 1-3 years’ experience in programming (such as SQL, Python, Hadoop MapReduce or other big data frameworks, Java) and statistical modelling (e.g. SAS or R)
• Experience in the use of statistical packages
• Experience in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
• Familiarity with basic principles of distributed computing and/or distributed databases
• Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues
• Good communication and interpersonal skills
• Knowledge of one or more business/functional areas
• Competency:
• Change Advocate
• Communications for Results
• Conceptual Thinking
• Information Seeking
• Innovation
• Problem Solving
• Teamwork

Notes

• Only shortlisted applicants will be contacted