Data Scientist

Minimum requirements:

• Matric / Grade 12 / National Senior Certificate
• Advanced Diplomas / National 1st Degrees
• Post Graduate Degree Computer Science, Econometrics, Mathematical Statistics, Actuary Science (ideal)
• SAS Data Scientist certification, Microsoft Data Scientist, IBM data engineer (ideal)
• Post graduate degree in computer science, statistics, or operations research or related technical discipline.
  
• 4-6 years experience in a statistical and/or data science role.
• Deep knowledge of machine learning, statistics, optimization or related field.
• Experience with R, Python, Matlab is required, programming in C, C++, Java.
• Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
• Excellent written and verbal communication skills along with strong desire to work in cross functional teams.
• Attitude to thrive in a fun, fast-paced start-up like environment

Technical / Professional Knowledge:

• Analysing situations or data that requires an in depth evaluation of multiple factors
• Data Mining
• Data Warehousing
• Financial modelling and analytics
• Research and analytics
• Strategy planning and execution

Responsibilities:

• Develop best-in-class statistical models and algorithms
• Conducts advanced statistical analysis
• Provide actionable insights, identify trends, and measure performance
• Create value out of enterprise wide data
• Provide insights to BI and BA to further exploit and present their models
• Provide strategic direction ito data information received
• Apply advanced analytical techniques such as machine learning and artificial intelligence in order to derive business value.
• Conduct data discovery for inclusion in models.
• Collaborate with key stakeholders to obtain business acumen and intellectual property
• Keep abreast with latest tools and techniques
• Understands business problems and designs end-to-end analytics use cases
• Collaborates with model developers to implement and deploy scalable solutions
• Develop complex models and algorithms that drive innovation throughout the organization.
• Ensure improvement of on-time performance and network planning
• Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders.
• Work with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
• Ensure understanding of pros and cons of different analytics approaches for problem type.
• Implements more advanced algorithms, e.g., complex descriptive.
• Ensure Quality controls of own work and those of junior scientists.
• Understand current state of analytics more broadly and apply techniques from across industries.
• Map problems and quantify the impact of proposed measures.
• Develop and prioritise use case roadmaps
• Support the achievement of the business strategy, objectives and values by reviewing company and Business Unit Plan and ensuring delivered systems, process, services and solutions are aligned.
• Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
• Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed, experience practiced and certifications obtained and/or maintained within specified time frames.
• Enable skilling and required corrective action to take place by sharing knowledge and industry trends with team and stakeholders during formal and informal interaction.
• Obtain buy-in for developing new and/or enhanced processes (e.g. operational processes) that will improve the functioning of stakeholders' businesses by highlighting benefits in support of the implementation of recommendations.
• Support the achievement of the business strategy, objectives and values
• Stay abreast of developments in field of expertise
• Ensure personal growth and enable effectiveness in performance of roles and responsibilities
• Contribute to the company Culture building initiatives (e.g. staff surveys etc.).
• Participate and support corporate responsibility initiatives for the achievement of business strategy
• Seek opportunities to improve business processes, models and systems though agile thinking.