Key Roles and Responsibilities
- Process large amounts of data from various sources including SQL and TimbrAI.
- Utilize advanced analytics techniques to analyse large datasets and extract meaningful patterns and trends.
- Develop and implement predictive models to solve complex business problems.
- Collaborate with cross-functional teams to identify areas for improvement and develop data-driven solutions.
- Communicate insights and recommendations to stakeholders in a clear and concise manner.
- Continuously monitor and evaluate the effectiveness of data-driven interventions and recommend changes as needed.
- Stay up to date with the latest advancements in data science, machine learning, and statistical modelling.
- Bachelor's or MSc degree in computer science, mathematics, statistics, or a related field.
- 3+ years of proven experience as a Data Scientist
- Proficient in data analysis and machine learning libraries including Pandas, NumPy, PySpark, scikit-learn, TensorFlow, PyTorch.
- Strong programming skills in Python.
- Experience with SQL and relational databases.
- Excellent communication and interpersonal skills.
- Proven ability to work collaboratively in a cross-functional team environment.
Preferred Qualifications:
- Experience working with human resource data, capital expenditure data, and commercial analytics.
- Familiarity working with Databricks and medallion architectures.
- Demonstrated ability to develop and deploy machine learning models in a production environment.
SAB/ABInBev is an equal opportunity employer and all appointments will be made in line with SAB/ABInBev employment equity plan and talent requirements. The advert has minimum requirements listed. Management reserves the right to use additional/ relevant information as criteria for short-listing.