Location: Europe (Fully Remote)

Duration: 6 months + Extension

Start Date: ASAP

Details:

Customer 360 Analysis:

• Holistic customer view.
• Clustering for segmentation.
• Predictive analytics.
• Churn prediction models.

Marketing Technology Integration:

• Integrate data for personalized campaigns.
• Sentiment analysis.
• Recommender systems.

Next Best Offer:

• Algorithms for relevant offers.
• Models for user engagement.
• Real Time event processing.

Per-Client and Per-Channel Analytics:

• User-level preferences.
• Channel performance analysis.
• Anomaly detection.

Advanced Data Science and ML Models:

• Deep learning for content analysis.
• Time-series analysis for peak times.
• Advanced recommendation systems.

Skills/Experience:

Toolkit we need is Python (data science libraries, + PySpark), AWS Sagemaker, GitHub.

• In terms of analytical skills - it will be a mix. One of the projects they need to do is NBOs. Here one will need to write if/else rules with statistics/ML elements.
• Able to think of algorithms needed, not only take function from a library, or build a pipeline.
• Extensive experience working with NBOs/NBAs is highly appreciated.
• Proficient with at least one statistical language R or Python, data processing in SQL