Senior Data Scientist

**Required Qualifications**:
Tertiary degree, diploma or certificate in a related field (BSc Computer Science, B.IT or Informatics related degrees).

**Experience and Knowledge**:

- 8-10 + years working experience as a Data Scientist or Data Analyst
- Experience in data mining
- Experience using business intelligence tools and data frameworks
- Experience in leading and mentoring a team
- Experience with very large datasets a must
- Extensive experience solving analytical problems using quantitative approaches.

**Key Responsibilities**:

- Work with cross departmental team to define metrics, guidelines, and strategies for effective use of algorithms and data
- Work closely with statisticians to identify, design, and build appropriate datasets for complex experiments
- Create data mining and analytics architectures, coding standards, statistical reporting, and data analysis methodologies
- Establish links across existing data sources and find new, interesting mash-ups
- Coordinate data resource requirements between analytics team and engineering teams
- Work with product managers, engineers, and analytics team members to translate prototypes into production
- Assist in the development of data management policies and procedures.
- Develop best practices for analytics instrumentation and experimentation.
- Conduct research and make recommendations on big data infrastructure, database technologies, analytics tools, services, protocols, and standards in support of procurement and development efforts
- Drive the collection of new data and the refinement of existing data sources
- Develop algorithms and predictive models to solve critical business problems
- Develop tools and libraries that will help analytics team members more efficiently interface with huge amounts of data
- Analyze large, noisy datasets and identify meaningful patterns that provide actionable results
- Develop and automate new enhanced imputation algorithms
- Create informative visualizations that intuitively display large amounts of data and/or complex relationships
- Develop, implement, and maintain change control and testing processes for modifications to algorithms and data analytics
- Collaborate with database and disaster recovery administrators to ensure effective protection and integrity of data assets
- Manage and/or provide guidance to junior members of the analytics team

**Competencies**:

- Critical Thinking: Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
- Active Learning: Understanding the implications of new information for both current and future problem-solving and decision-making.
- Systems Analysis: Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
- Complex Problem Solving: Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
- Inductive Reasoning: The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).
- Technical Literacy: Possess a high level of technical literacy, which helps them determine how a software solution fits into an organizations current structure and assists in the development of specifications and requirements.
- Analytical Assessment: A high level of analysis to examine current systems and determine overall project needs and scope.
- Schedule Management: Extensive time management skills to determine development schedules and milestones and ensure that deliverables are completed on time for oneself and your team.
- Team Leadership: To oversee and direct development teams throughout the project development lifecycle, experience with team leadership and motivation is essential. Ability to translate strategy and strategic objectives into measurable and executable projects.
- Experience working on large project(s) incorporating processes and procedures and standards.