Data Science & Analytics Manager 470 views

JOB DESCRIPTION

Our client in the Information Technology industry is looking for a Data Science & Analytics Manager to be based in Harare

Duties & Responsibilities

• Manage and develop the Data Science and Analytics team and product offering in-line with the wider organization’s offering
• Design, prototype, develop and deploy machine learning risk models,
• Curating enterprise data sets, risk models, analytics and NLP techniques
• Write high-quality code with good practices across all environments, development, testing and production.
• Develop and maintain high standards for our data science, analytics, risk model and AI/ML capabilities continuously innovating and leveraging new ideas and technologies
• Convert data into decisions that can have a large impact on our clients’ businesses.
• Manage the full data lifecycle including scoping projects, importing & cleansing data, running analysis, and reporting back insights.
• Work with other members of our team including product managers, sales and marketing, management as well as software engineers
• Develop ETL framework for extracting, transforming and loading (ETL) data onto the organisation’s cloud AWS database and enterprise platform
• Work within a documented process for data security, business continuity and GDPR compliance, other regulatory requirements as well as ethically.

Requirements

• BSC, MSc, PhD or equivalent experience in Computer Science, Statistics, Engineering, Actuarial Science, Mathematics, Physics or quantitative discipline.
• GitHub, Kaggle (or equivalent) public repository with a portfolio of projects
• Good knowledge of R, Python. A strong experience in Python coupled with deep understanding of machine learning/AI frameworks
• Practical experience in building NLP models
• Working experience with cloud platforms (AWS is beneficial
• Practical experience in developing and deploying machine learning models
• Experience working with SQL databases and others
• Experience with programming languages and statistical platforms and tools: SAS, R, MatLab or Python
• Three to Five years’ experience working in a Data Science/Data Analysis/statistics role in a commercial environment is helpful
• Big 4 Audit, Risk experience an added plus
• Excellent knowledge of engineering methodologies (version control, C1/CD)