Actively Hiring
LU
Senior Data Scientist
Lula
Cape Town
Skills:
Machine Learning
Python
Pandas
Job Description
Job Title: Senior Data Scientist
Company: Lula
Job Category: Machine Learning
Roles & Responsibilities:
ROLE PURPOSE
KEY RESPONSIBILITIES
* Partner with stakeholders to translate business questions into analytical problems, and communicate findings and recommendations clearly to technical and non\-technical audiences.
* Own the productionisation of machine learning models, including reproducible pipelines, versioned code, automated testing and deployment, working with data engineers and analytics engineers.
* Monitor models in production for performance, drift and data quality, and drive retraining, remediation and improvement when they degrade.
* Build, validate and maintain predictive models (e.g. classification, regression, forecasting, segmentation).
* Explore, clean and analyse large datasets to uncover trends, drivers and opportunities.
* Design and analyse experiments (A/B tests, pilots) and measure the impact of business initiatives.
* Build dashboards, reports and reusable analysis assets that make insights self\-serve.
* Help raise the standard for how data science is done at Lula
* Contribute to data quality, documentation and good practice across the data team.
Work Location: Cape Town, WC, South Africa
Availability: Full time
Requirements
THE SKILLS AND EXPERIENCE WE'RE LOOKING FOR
* A numerical or quantitative degree (e.g. mathematics, statistics, data science, computer science, engineering, economics, finance)
* 3\-5 years' experience in a data science or advanced analytics role
* Proven experience productionising machine learning models and monitoring them once live (performance, drift, data quality)
* Experience building and evaluating machine learning models on real\-world data
* At least 3 years' experience actively using Python in data analysis or modelling (pandas, scikit\-learn or similar)
* At least 3 years' experience actively using SQL for data analysis
* Experience applying software engineering practices to data science work (Git, code review, automated testing)
* Experience in FinTech, lending or small business environments, or a strong interest in the space
Key Skills: Machine Learning, Python, Pandas
Salary: Not disclosed