Senior Data Scientist / ML

About the role

Rho is building a modern banking platform for the AI era and seeks a Senior Data Scientist/ML to shape modeling, evaluation, and ML infrastructure. This hybrid role combines hands‑on model development with end‑to‑end ownership of deployment, monitoring, and retraining.

Key responsibilities

• Define and evolve Rho’s ML/DS practices, including model evaluation, deployment, versioning, and retraining pipelines.
• Design and implement evaluation frameworks and harnesses that provide confidence in model quality before and after launch.
• Build high‑impact models for transaction coding suggestions, OCR/document understanding, and retrieval‑augmented generation systems.
• Make and document core ML infrastructure decisions such as model registries, feature stores, serving patterns, and drift monitoring.
• Translate ambiguous business problems into well‑scoped modeling questions and design experiments (A/B tests, causal inference) to validate impact.

Required profile

• 6+ years of experience in data science, applied ML, or a related quantitative field with a proven record of shipping models to production.
• Deep, hands‑on expertise in ML infrastructure (model registries, feature stores, serving architectures, monitoring/observability, retraining pipelines).
• Experience establishing or maturing ML practices, standards, or infrastructure within a team or organization.
• Strong programming skills in Python and solid SQL knowledge.
• Excellent communication skills to influence technical direction and collaborate with both technical and non‑technical stakeholders.

Required skills

• Python
• SQL
• Snowflake
• DBT
• PostgreSQL
• Kubernetes
• MLflow
• Terraform
• Prometheus
• Google Cloud Services
• Omni
• Hex
• PowerBI
• Airflow
• Dagster
• Prefect

What we offer

• Competitive base salary (adjusted for experience, location, and business needs).
• Top‑notch private healthcare insurance for you and your family.
• Generous PTO policy and covered parking for onsite staff.
• Lunch at work and a hybrid work environment with an office in Belgrade’s old town.
• Learning and development budget and paternity leave.