Data Lead

5 months ago

Cape Town, South Africa e-Merge IT Recruitment Full time

A dynamic startup leveraging alternative data to provide unique insights into consumer behaviour for investors and corporate clients with a mission to deliver differentiated and in-depth consumer research, shaping investment decisions and strategic moves in the market. As a small yet ambitious team, they are seeking a talented individual to join as a **Data Lead** who will play a pivotal role in professionalising their data infrastructure, blending expertise in data analysis, data science, and data engineering. You will be a key driver in unlocking the potential unique consumer transaction dataset, contributing to the mission of providing unparalleled insights to clients.

**Responsibilities**:

- Work on feature engineering, model development, and evaluation to enhance the depth of our data-driven offerings
- Collaborate with stakeholders to understand the business context and align data science efforts with strategic goals
- Architect, implement, and maintain robust data pipelines for efficient data processing, analysis and customer solutions
- Optimise existing data infrastructure and propose improvements to enhance scalability and performance
- Proactively stay abreast of industry trends, emerging data sources, and evolving methodologies, fostering a culture of continuous learning within the data team
- Develop a forward-thinking system that anticipates and accommodates company growth, ensuring our data capabilities remain agile, nimble, and scalable
- Identify innovative opportunities for data-driven initiatives, contributing to the ongoing enhancement and optimization of our data infrastructure

**Qualifications and Experience**:

- Proven experience in data analysis, data science, and data engineering roles (3-5 years’ experience across these functions).
- Strong proficiency in programming languages such as Python.
- Experience with SQL and proficiency in working with relational databases.
- Deep understanding of cloud infrastructure, particularly AWS and services like S3, Lambda, Redshift and EC2.
- Familiarity with machine learning frameworks and statistical analysis tools.
- Previous exposure to developing and maintaining data pipelines

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