Data Scientist - Insights

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.

Originally posted on Himalayas