End-to-end ML for classification and forecasting use cases
Data exploration, cleaning, EDA, and data quality checks
Feature engineering for tabular and time-series data
Train, validate, tune ML models (logistic regression, tree-based, boosting, simple neural nets
Evaluate models by business KPIs and present insights to stakeholders
Collaborate with data/AI engineers to productionize models

🎯 Requirements

Commercial experience with classical DS/ML models (decision trees, ensembles, linear regression)
Solid knowledge of customer analytics or advanced forecasting
Model hyperparameter tuning
Model validation frameworks
Business requirements gathering and translating into technical plans
Fluency in Python; basic SQL knowledge

🎁 Benefits

Collaborative environment in Data Science & Applied AI
Opportunity to work on forecasting, customer analytics, and causal ML
Exposure to cloud platforms (Databricks, GCP, Azure)

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot