Remote FMCG Data Scientist — Forecasting & AI Insights

Placements24; Benoni; Híbrido; ZAR 1.828.000 - 2.493.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Performance bonuses

Remote work package

Health insurance

Paid holidays

Professional development

Company laptop

Descripción de la vacante

Placements24 is seeking a Data Scientist for a fully remote role in the FMCG sector. You will extract insights, develop predictive models, and drive data-driven decisions across the organization.

You will work on consumer behavior, supply chain optimization, and marketing effectiveness with a world-class analytics team. The ideal candidate has a strong background in statistical modeling, machine learning, data visualization, and programming, plus excellent communication for both technical and

Formación

• Master's or PhD in a quantitative field and 5+ years of data science experience.
• Proven ability to build and deploy ML models for business problems.
• Strong SQL skills and experience with Python or R.
• Experience with data visualization tools (Tableau/Power BI/Matplotlib).
• Excellent communication and ability to work remotely.

Responsabilidades

• Develop statistical models and ML algorithms for FMCG challenges.
• Analyze large datasets for consumer behavior, sales, and ops.
• Build predictive models for forecasting, churn, and campaigns.
• Design and run A/B tests and experiments.
• Create dashboards to communicate findings to stakeholders.
• Collaborate with cross-functional teams to define data needs.

Conocimientos

Statistical modeling

Machine learning

Data visualization

Excellent communication

Remote collaboration

Educación

Master's or PhD in a quantitative field

Herramientas

Python

R

SQL

TensorFlow

PyTorch

Spark

Tableau/Power BI

Descripción del empleo

Placements24 is seeking a Data Scientist for a fully remote role in the FMCG sector. You will extract insights, develop predictive models, and drive data-driven decisions across the organization.

You will work on consumer behavior, supply chain optimization, and marketing effectiveness with a world-class analytics team. The ideal candidate has a strong background in statistical modeling, machine learning, data visualization, and programming, plus excellent communication for both technical and