Senior Data Scientist — ML/GenAI, Personalization & Real-Time Scoring (Viatouch Vicki AI)Summary
We’re hiring a Senior Data Scientist to build production ML + GenAI that makes Viatouch Vicki smarter in real time: personalized ads/offers/samples, low-latency scoring, and LLM-driven insights that are grounded in our data.
What You’ll Do
- Personalization / Next-Best-Action: Build ranking/propensity models to decide what Vicki shows next (content, offer, sample, question) based on context + behavior.
- Real-Time Scoring in AWS: Deploy low-latency inference with monitoring, drift detection, versioning, and safe rollback.
- LLMs + RAG + Agents: Create data-grounded assistants that answer questions, summarize campaigns, explain anomalies, and analyze open-ended feedback (with traceability/guardrails).
- Prompting + Fine-Tuning + Evaluation: Build prompt libraries, run model evaluations, reduce hallucinations, and set quality gates for releases.
- Data Modeling for ML + BI: Curate warehouse/lake datasets, create Redshift views, and support QuickSight dashboards used internally and by partners.
- Fraud-Aware Signals: Incorporate risk/anomaly signals so personalization and measurement aren’t polluted by abuse.
What You Bring
- Proven experience shipping ML to production (not just notebooks).
- Strong Python + SQL; solid ML fundamentals (classification, ranking, clustering, evaluation).
- Experience with personalization/recommendations and real-time decisioning.
- AWS proficiency (deploying, scaling, monitoring).
- Clear communicator who can lead projects end-to-end.
Tech Stack (Core)
AWS, Redshift, QuickSight, Python, SQL, TensorFlow (or equivalent), ETL/ELT (Talend a plus), Spark/Hadoop as needed, Bash.
If you want it even punchier, I can compress this into a 10–12 line posting optimized for LinkedIn/Indeed.
Job Type: Full-time
Pay: $108,401.13 - $130,547.59 per year
Work Location: Hybrid remote in New York, NY 10001