DATA SCIENTIST

Data Scientist

The Position:

Reporting to the Head of Data and Analytics, the role holder will be responsible for the implementation of initiatives that impact business positively through the use of advanced analytics techniques such as predictive and prescriptive modelling, advanced statistical analysis, data mining, data visualization and machine learning. This role requires a blend of technical, business, interpersonal and data science skills that will be utilized to manipulate, analyze and interpret large and varied datasets resulting in insights and analytics solutions that enhance business performance.

Key Responsibilities:

Advise the business leadership team on analytics value opportunities on an ongoing basis and translate business problems into specific analytics and technology enabled solutions.

Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions through Advanced Analytics and the use of various data mining techniques such as exploratory data analysis and statistical analysis.

Create predictive and prescriptive advanced analytics solutions and models that will support various business initiatives and result in actionable insights and recommendations, operational decisions and ensure effective business outcomes.

Develop and maintain user and technical documentation/manuals on business requirements (business questions and hypothesis), data sources, ETL related activities, data quality assessment, data cleansing activities, data mining analyses, models developed, reports generated and statistical solutions developed and deployed.

Assess the effectiveness and accuracy of new data sources, data governance activities (e.g. data quality and cleansing strategies) data gathering techniques and develop processes and tools to monitor, analyze and tune model performance and data accuracy.

Work with both structured and unstructured data including transforming of large, complex datasets into pragmatic and actionable insights.

Utilize industry standards and methodologies such as CRISP-DM in the analysis and development of advanced analytics solutions and development of best practices for model development, data mining, management, maintenance, reporting and security.

Drive innovation through Advance Analytics democratization initiatives such as creating awareness and assisting business in understanding the power and value of analytical approaches to decision-making, evangelizing through e-learning, training business on how to use some of the advanced analytics tools, showing them how to interpret results, insights and contribution to the organization’s strategic goals and influence their decision-making processes.

Develop and implement strategic partnerships in the business, technology and academic field

Stays abreast of industry and regulatory trends that may impact new and existing strategy development.

The Person:

For the above position, the successful applicant should have the following:

A Bachelor’s degree in Mathematics, Business, Statistics, Economics, Computer Science or equivalent combination of education and experience.

Proficiency in SQL, R, Python, Supervised and Unsupervised Machine Learning Techniques.

At Least 5 years’ experience in Math’s and Statistics, Analytics & Modelling and Machine Learning Methods, with at least 4 years’ experience in Programming and Data visualization, and 2 years’ experience in SQL.

Experience in Intellectual Curiosity, Communication and Data Governance